Gameplay (4+ rounds):
Discussion Items for Paper
What individuals and groups have an important stake in the use of this technology, and what were their “reviews” of the tech? Are the concerns of some of those individuals or groups more important? Why?
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people? Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”? Are these issues about more than solely what is legal or what is most efficient? If so, how?
What are the options for implementing this technology ethically to address the above? How can we make sure all the relevant persons and groups have been consulted? Are there other creative options?
Discussion Items for Paper
What individuals and groups have an important stake in the use of this technology, and what were their “reviews” of the tech? Are the concerns of some of those individuals or groups more important? Why?
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people? Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”? Are these issues about more than solely what is legal or what is most efficient? If so, how?
What are the options for implementing this technology ethically to address the above? How can we make sure all the relevant persons and groups have been consulted? Are there other creative options?
Gameplay (4+ rounds):
Writing is very much like software development, and the similarities can help you as computer science students understand what's involved in writing in CS
image generated by DALLE-2: "please give me an image of a sandwich made of essays in computer science"
tool: raindrop.io
truthiness: using a gut-sense feeling instead of empirical evidence or thinking to determine truth
Originally coined on the Colbert Report in 2005
https://limpohann.blogspot.com/2013/12/comforting-lies-bitter-truth.html
S. Kraus, S. R. Sears, and B. L. Burke, “Is Truthiness Enough? Classroom Activities for Encouraging Evidence-Based Critical Thinking,” vol. 13, no. 2, 2013.
Seven Steps:
S. Kraus, S. R. Sears, and B. L. Burke, “Is Truthiness Enough? Classroom Activities for Encouraging Evidence-Based Critical Thinking,” vol. 13, no. 2, 2013.
Avoiding the Burden of Proof
Assuming the truth without evidence, and being too disinterested to find it
Avoiding the Issue
Faulty thinking is to avoid the true issue
Avoiding Responsibility
Over reliance on authority - authorities have been wrong before. Positions must be supported by evidence
Faulty Logic
Carrying an argument to a ridiculous extreme
Called logical fallacies
Attachment to ideas
Try not to get too attached to ideas, just because they're yours. Try to keep an open mind, and think from others' perspectives
S. Kraus, S. R. Sears, and B. L. Burke, “Is Truthiness Enough? Classroom Activities for Encouraging Evidence-Based Critical Thinking,” vol. 13, no. 2, 2013.
From: http://eqseis.geosc.psu.edu/~cammon/HTML/Classes/IntroQuakes/Notes/critical_thinking.html
https://computer-ethics.com
"It is raining outside: I walked outside my front door this morning and I immediately got soaked by the rain. Every time it rains puddles form everywhere on the ground. Therefore, there must be puddles everywhere outside."
https://www.educationworld.in/critical-thinking-the-critical-thinking-series-part-2-what-is-argument-mapping/
A conclusion or contention is the statement that is inferred (reasoned) from the argument’s premises.
A premise or reason is a statement that supports, or helps lead to, an argument’s conclusion.
"It is raining outside: I walked outside my front door this morning and I immediately got soaked by the rain. Every time it rains puddles form everywhere on the ground. Therefore, there must be puddles everywhere outside."
A premise is a statement that supports, or helps lead to, an argument’s conclusion.
A conclusion is the statement that is inferred (reasoned) from the argument’s premises
Consider this passage:
Some people claim that we should not let immigrants enter the United States. This is because if immigrants are allowed to enter the U.S. they will take jobs away from U.S. citizens. There are only so many jobs available within the United States and the more people are available to fill the jobs, the steeper the competition for work will be. An objection to the idea that immigrants take jobs from U.S. residents is that there is a demonstrable increase in economic growth that comes with immigration. Thus immigration can actually create jobs for native-born citizens as opposed to taking them away.
https://www.educationworld.in/critical-thinking-the-critical-thinking-series-part-2-what-is-argument-mapping/
Title: The Nuclear Dilemma: Is It Time to Reconsider Our Energy Future?
As the world races against the ticking clock of climate change, the conversation around nuclear energy is heating up. Often maligned for its association with catastrophic accidents, nuclear power is now being reconsidered by experts as a potential lifeline in our battle to reduce greenhouse gas emissions. According to the latest IPCC findings, nuclear energy boasts some of the lowest life-cycle CO2 emissions—outperforming even solar power. This might come as a surprise to those who have long touted renewables as the ultimate green solution.
But the benefits don’t stop at the environment. When it comes to safety, nuclear energy holds an impressive track record. Despite high-profile incidents like Chernobyl and Fukushima, statistics reveal that nuclear power results in fewer deaths per unit of energy produced than its fossil-fuel counterparts. This might make it the safest bet in an increasingly perilous energy landscape.
Yet, the shadow of disaster looms large. The potential for a nuclear accident—rare but devastating—cannot be ignored. The specter of radiation and long-term environmental damage makes many hesitant to embrace nuclear power fully. Opponents point to the catastrophic consequences of even a single failure, where the release of radiation can render areas uninhabitable for decades, displacing communities and causing severe health problems that persist for generations. The cleanup and containment efforts following such incidents often span years, with costs running into billions of dollars—costs that many argue outweigh the benefits of nuclear energy.
Moreover, there is the issue of nuclear waste, which remains hazardous for thousands of years. The challenge of safely storing this waste without harming future generations is a problem that remains unsolved, casting a long shadow over nuclear power's sustainability. Critics argue that by investing in nuclear energy, we are burdening future generations with a toxic legacy—one that they may not have the technology or resources to manage effectively.
As we stand at this energy crossroads, the question remains: Do we let fear dictate our choices, or do we boldly invest in the technology that could secure a cleaner, safer future? The answer is not simple. While nuclear power presents a compelling case for reducing greenhouse gases and improving energy security, the potential for disaster and the unresolved issue of nuclear waste remind us that the stakes are high. As the debate continues, one thing is clear: the future of energy will require careful consideration of both the promises and perils of nuclear power.
Title: The Nuclear Dilemma: Is It Time to Reconsider Our Energy Future?
As the world races against the ticking clock of climate change, the conversation around nuclear energy is heating up. Often maligned for its association with catastrophic accidents, nuclear power is now being reconsidered by experts as a potential lifeline in our battle to reduce greenhouse gas emissions. According to the latest IPCC findings, nuclear energy boasts some of the lowest life-cycle CO2 emissions—outperforming even solar power. This might come as a surprise to those who have long touted renewables as the ultimate green solution.
But the benefits don’t stop at the environment. When it comes to safety, nuclear energy holds an impressive track record. Despite high-profile incidents like Chernobyl and Fukushima, statistics reveal that nuclear power results in fewer deaths per unit of energy produced than its fossil-fuel counterparts. This might make it the safest bet in an increasingly perilous energy landscape.
Yet, the shadow of disaster looms large. The potential for a nuclear accident—rare but devastating—cannot be ignored. The specter of radiation and long-term environmental damage makes many hesitant to embrace nuclear power fully. Opponents point to the catastrophic consequences of even a single failure, where the release of radiation can render areas uninhabitable for decades, displacing communities and causing severe health problems that persist for generations. The cleanup and containment efforts following such incidents often span years, with costs running into billions of dollars—costs that many argue outweigh the benefits of nuclear energy.
Moreover, there is the issue of nuclear waste, which remains hazardous for thousands of years. The challenge of safely storing this waste without harming future generations is a problem that remains unsolved, casting a long shadow over nuclear power's sustainability. Critics argue that by investing in nuclear energy, we are burdening future generations with a toxic legacy—one that they may not have the technology or resources to manage effectively.
As we stand at this energy crossroads, the question remains: Do we let fear dictate our choices, or do we boldly invest in the technology that could secure a cleaner, safer future? The answer is not simple. While nuclear power presents a compelling case for reducing greenhouse gases and improving energy security, the potential for disaster and the unresolved issue of nuclear waste remind us that the stakes are high. As the debate continues, one thing is clear: the future of energy will require careful consideration of both the promises and perils of nuclear power.
we can also look at the structure of arguments
Text
https://ecampusontario.pressbooks.pub/criticalthinking1234/chapter/introduction/
https://owl.purdue.edu/owl/general_writing/academic_writing/establishing_arguments/index.html
Example of a non-debatable thesis statement: "Pollution is bad for the environment."
This thesis statement is not debatable.
The word pollution implies that something is bad or negative in some way.
All studies agree that pollution is a problem; they simply disagree on the impact it will have or the scope of the problem. No one could reasonably argue that pollution is unambiguously good.
Example of a debatable thesis statement: "At least 25 percent of the federal budget should be spent on limiting pollution."
Debatable thesis because reasonable people could disagree with it
Some people might think that this is how we should spend the nation's money. Others might feel that we should be spending more money on education. Still others could argue that corporations, not the government, should be paying to limit pollution.
Consider this example, where a writer wants to argue that the state minimum wage should be increased. The writer does not follow the guidelines for making a good argument
"It is obvious to anyone thinking logically that minimum wage should be increased. The current minimum wage is an insult and is unfair to the people who receive it. The fact that the last proposed minimum wage increase was denied is proof that the government of this state is crooked and corrupt. The only way for them to prove otherwise is to raise minimum wage immediately."
The paragraph does not build a logical argument:
It assumes that anyone thinking logically will already agree with the author, which is clearly untrue. If that were the case, the minimum wage increase would have already occurred.
The argument does not follow a logical structure. There is no development of premises which lead to a conclusion.
The author provides no evidence for the claims made.
https://owl.purdue.edu/owl/general_writing/academic_writing/logic_in_argumentative_writing/logic_in_writing.html
ChatGPT has been infamous for over-using certain phrases, so best to avoid them (even in your own original writing!)
https://www.dropshippinghustle.com/words-chatgpt-uses-a-lot/
Another indicator of over-reliance on Dr. Chat's assistance in your writing is BEING EXTRA
"This pioneering essay will endeavor to illuminate the rich tapestry of ethics, highlighting the urgent need to navigate the revolutionary landscape of AI"
ChatGPT has been infamous for over-using certain phrases, so best to avoid them (even in your own original writing!)
https://www.dropshippinghustle.com/words-chatgpt-uses-a-lot/
Another indicator of over-reliance on Dr. Chat's assistance in your writing is BEING EXTRA
"This pioneering essay will endeavor to illuminate the rich tapestry of ethics, highlighting the urgent need to navigate the revolutionary landscape of AI"
The audacity of that sentence...
Instead, keep it short + simple, with less drama:
"Increasing use of AI has signaled the need for increased ethical consideration."
Professor's essay prompt:
Write an essay on the use of computers in law enforcement. Issues include benefits to crime fighting, invasion of privacy, problems caused for innocent people because of errors in databases, etc. Describe cases where the computer system has been very helpful in catching a criminal, and describe cases where it has caused serious problems. What databases are typically accessed in these cases? How do they prevent unauthorized access? Have errors in NCIC been reduced? Who benefits the most? Who is harmed the most? What are some mitigation strategies?
Professor's essay prompt:
Write an essay on the use of computers in law enforcement. Issues include benefits to crime fighting, invasion of privacy, problems caused for innocent people because of errors in databases, etc. Describe cases where the computer system has been very helpful in catching a criminal, and describe cases where it has caused serious problems. What databases are typically accessed in these cases? How do they prevent unauthorized access? Have errors in NCIC been reduced? Who benefits the most? Who is harmed the most? What are some mitigation strategies?
This essay is about the use of computers in law enforcement, which includes issues in crime fighting, invasion of privacy, problems caused for innocent people, etc. Some cases where the system has been helpful in catching criminals are in white collar crime and human trafficking. Some cases where where the system has not been helpful are in recidivism prediction. Some databases that are typically accessed in these cases are background check databases. They prevent unauthorized access by requiring a password. Errors in NCIC have not been reduced.
Professor's essay prompt:
Write an essay on the use of computers in law enforcement. Issues include benefits to crime fighting, invasion of privacy, problems caused for innocent people because of errors in databases, etc. Describe cases where the computer system has been very helpful in catching a criminal, and describe cases where it has caused serious problems. What databases are typically accessed in these cases? How do they prevent unauthorized access? Have errors in NCIC been reduced? Who benefits the most? Who is harmed the most? What are some mitigation strategies?
This essay is about the use of computers in law enforcement, which includes issues in crime fighting, invasion of privacy, problems caused for innocent people, etc. Some cases where the system has been helpful in catching criminals are in white collar crime and human trafficking. Some cases where where the system has not been helpful are in recidivism prediction. Some databases that are typically accessed in these cases are background check databases. They prevent unauthorized access by requiring a password. Errors in NCIC have not been reduced.
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm, highlighting the need for careful mitigation strategies.
Professor's essay prompt:
Write an essay on the use of computers in law enforcement. Issues include benefits to crime fighting, invasion of privacy, problems caused for innocent people because of errors in databases, etc. Describe cases where the computer system has been very helpful in catching a criminal, and describe cases where it has caused serious problems. What databases are typically accessed in these cases? How do they prevent unauthorized access? Have errors in NCIC been reduced? Who benefits the most? Who is harmed the most? What are some mitigation strategies?
This essay is about the use of computers in law enforcement, which includes issues in crime fighting, invasion of privacy, problems caused for innocent people, etc. Some cases where the system has been helpful in catching criminals are in white collar crime and human trafficking. Some cases where where the system has not been helpful are in recidivism prediction. Some databases that are typically accessed in these cases are background check databases. They prevent unauthorized access by requiring a password. Errors in NCIC have not been reduced.
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm, highlighting the need for careful mitigation strategies.
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Transitions like "but," "however," "for example," and "although" create clear connections between ideas.
"but" contrasts benefits (improved crime fighting) with concerns (privacy)
"however" introduces drawbacks for a balanced argument: (+pro) they helped solve crimes, (-con) they have errors
"Ultimately" helps tie the argument together by summarizing the main tension and providing a concluding statement
Paragraph flow is logical: progresses from info --> benefits --> drawbacks --> summarizing the impact. This makes the paragraph cohesive rather than a list of disconnected points.
Here are some common patterns for global organization of your ideas. You can pick one, or use several:
https://writingcenter.unc.edu/tips-and-tools/flow/
What do you mean "specifics?"
I wrote that text specifically for this assignment!
In a majority of your text, you should write with specifics
In a majority of your text, you should write with specifics
To understand the importance of being specific in your text, it can help to imagine you have received a restaurant bill for the wrong amount. Let’s say you ask the server to inquire:
Image generated by DALLE-2
"Why is my bill so high??"
"a variety of effects contributed to the dollar amount, and it can be clearly seen that the total is correct"
In the philosophy of academic writing/communication, this is called “Bullshit”
bullshit is defined as: speech intended to persuade without regard for evidence
"a variety of effects contributed to the dollar amount, and it can be clearly seen that the total is correct"
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | It doesn’t explain what kind of errors are being referred to or what specific efforts have been made. It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | It doesn’t explain what kind of errors are being referred to or what specific efforts have been made. It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | What kind of errors?? What specific efforts have been made? It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | What kind of errors?? What specific efforts have been made? It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | What kind of errors?? What specific efforts have been made? It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | What kind of errors?? What specific efforts have been made? It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
Original | Why it's bullshit | What's better |
---|---|---|
Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. | What kind of errors?? What specific efforts have been made? It would be helpful to mention the types of errors (e.g., incorrect criminal records, misidentifications) and the particular initiatives or reforms to address them. | "Although efforts have been made to reduce data inaccuracies in the National Crime Information Center (NCIC), issues like incorrect records and misidentifications still persist, often leading to significant consequences for individuals who are incorrectly flagged, such as x, y, and z." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. | What privacy concerns? It's vague and just a filler term, which is then never addressed further. Either specify which privacy concerns and then discuss them, or remove the item | "The use of computers in law enforcement has enhanced investigative capabilities but has also led to significant privacy issues, such as increased surveillance, data breaches, and misuse of personal information." |
The use of computers in law enforcement has improved crime fighting but also raised privacy concerns. For example, databases used in background checks have helped solve white-collar crime and human trafficking cases. However, the same systems can lead to errors, such as incorrect recidivism predictions that unfairly impact innocent people. Although efforts have been made to reduce errors in the National Crime Information Center (NCIC), challenges remain. Ultimately, while law enforcement gains significant benefits, individuals affected by database errors often face the greatest harm.
bullshit is defined as: speech intended to persuade without regard for evidence
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
The exploitation of gig workers may exacerbate economic inequality within the community
Corporate executives benefit significantly more than Dashers
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
The exploitation of gig workers may exacerbate economic inequality within the community
Corporate executives benefit significantly more than Dashers
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Good: For corporate executives, maximizing profits and growing the company leads to increased revenue, which benefits investors and expands market share
Bad: Focus on maximizing profit often leads to low wages and lack of benefits for Dashers
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
The exploitation of gig workers may exacerbate economic inequality within the community
Corporate executives benefit significantly more than Dashers
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Good: For corporate executives, maximizing profits and growing the company leads to increased revenue, which benefits investors and expands market share
Bad: Focus on maximizing profit often leads to low wages and lack of benefits for Dashers
Are these issues about more than solely what is legal or what is most efficient? If so, how?
The exploitation of Dashers might not be illegal under current regulations, but it raises ethical concerns about fairness and economic justice
Maximizing efficiency might involve minimizing delivery times and costs, but this could lead to unfair treatment of drivers, such as pressuring them to work under unsafe conditions or for low wages
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
The exploitation of gig workers may exacerbate economic inequality within the community
Corporate executives benefit significantly more than Dashers
Good: For corporate executives, maximizing profits and growing the company leads to increased revenue, which benefits investors and expands market share
Bad: Focus on maximizing profit often leads to low wages and lack of benefits for Dashers
The exploitation of Dashers might not be illegal under current regulations, but it raises ethical concerns about fairness and economic justice
Maximizing efficiency might involve minimizing delivery times and costs, but this could lead to unfair treatment of drivers, such as pressuring them to work under unsafe conditions or for low wages
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Corporate executives significantly benefit from DoorDash’s model through increased profits and market expansion, but these gains often come at the cost of fair treatment for Dashers. Even though the treatment of Dashers may be within legal bounds, the low wages and lack of benefits for Dashers can contribute to greater economic inequality. This creates an ethical tension around fairness and economic justice, where there is a choice between a "good" outcome for the company (profit) and a "bad" outcome for the workers (inequality). From a deontological perspective, this tension...
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
Let's answer these questions from the paper and then try to organize them in a logical flow with transitions.
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people?
Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”?
Are these issues about more than solely what is legal or what is most efficient? If so, how?
2 options for this activity:
Summarize the stakeholders, their concerns, and other issues from your play through of Judgment Call
What individuals and groups have an important stake in the use of this technology, and what were their “reviews” of the tech? Are the concerns of some of those individuals or groups more important? Why?
Could actual or imagined use of this technology be damaging to someone or to some group, or unevenly beneficial to people? Does broad deployment of this technology involve a choice between a good and bad alternative, or perhaps between two “goods” or between two “bads”? Are these issues about more than solely what is legal or what is most efficient? If so, how?
What are the options for implementing this technology ethically to address the above? How can we make sure all the relevant persons and groups have been consulted? Are there other creative options?
Research and identify some shortcomings of the article
Check your list of “stakeholders” and their concerns from your table’s rounds of Judgment Call. Which are considered in your article? Which are left out? Does the article wrongly assume that concerns of some groups are more important?
You could also check to see whether there is a fallacy in the argument. For example, you could question the definition of the “bias” or “fairness” used by ProPublica that leads to the claim that the COMPAS algorithm is biased and, therefore, unethical (i.e., focusing on the assumptions forming the argument). Alternatively, you could question whether their methodology is correct or identify a mistake in their analysis (i.e., focusing on the premises themselves). You could attempt this yourself, but finding other sources that explain it will be most helpful.
Using your description of stakeholders, concerns, trade-offs, etc, construct an ethical analysis of the technology and the article’s argument, according to virtue, deontological, and utilitarian ethics frameworks. Which framework does the article’s argument align with, and why? What issues are left out?
Assumes a sequence of (undesired) effects will occur
https://9gag.com/gag/a25Zw4E
Try to make the argument easier to attack by:
Classic case of "black and white thinking"
Text
Use fears about the future that might happen
rhetoric: using persuasive language and techniques, rather than evidence
Basically, overhyping your evidence
Attacking the person, rather than the argument
Cynicism: attitude characterized by skepticism, distrust, and a negative view of human nature and motives.
People with a cynical outlook often believe:
Appeal to common beliefs, again without evidence
https://linglogic.fandom.com/wiki/Bandwagon_argument_(ad_populum)
Attempts to find resemblance with something undesirable or evil
non-sequitur: conclusion does not logically follow from the arguments
~~~
Example:
https://elaineou.com/2021/01/17/guilt-by-association/
Ground.news
A sampling of the bias categories follows:
• Far Left: The Independent Left, World Socialist Web Site
• Left: CNN, Huffpost, Daily Kos
• Lean Left: Washington Post, CBS News, Bloomberg, Politico, New York Times
• Center: The Hill, Political Wire, Forbes, The Globe and Mail, Reuters
• Lean Right: Wall Street Journal, Fox Business, New York Post
• Right: Fox News, Newsmax, Breitbart, National Review
• Far Right: Info Wars, Red Voice Media