As Learning Pros, What Can We Expect from Artificial Intelligence and Machine Learning?
Alex Enkerli
February 25, 2021
alexandre.enkerli@collecto.ca
Show(s) of Hands
How Many of You Identify as STEM?
How Many of You Come from Arts, Humanities, Social Sciences…?
How Many of You Identify as AI Skeptics?
How Many of You Identify as Human Learners?
whoami?
Alex
Collecto’s Technopedagogical Hub
Prospection
Direct Support
Pedagogical Heritage
Where can we find AI?
What can AI/ML do for us?
What Risks Do We Perceive from AI/ML?
Some context…
AI’s Promises
Leibniz, binary code…
Ada Lovelace, Charles Babbage
Macy Conferences
Alan Turing
Towards Most Humain Human?
Information Theory
Shannon & Weaver 1948
Dartmouth 1956
John McCarthy, Marvin Minsky, Herbert Simon
Hype, Hope, Disillusion
First AI Winter: 1974–1980
Second AI Winter: 1987–1993
A Third AI Winter?
Reductionism
Spheres of Agency
Automated Recommendations
Netflix competition, ads, meeting sites…
Commercial Products
Digital Assistants, Home Automation, Autonomous Vehicles…
Content Analysis
Topic Modelling
Massive Data
Public Consultation Data
City of Ottawa: Sparks Street
PCO & Open North: workshop
Digital Humanities
Examples
- Voyant Tools
- JTool
- Signs Journal
Feet Wet
- ESDC questionnaire on Flexible Work Arrangements
- Preprocessed slices
- Questions with qual responses
- Pieces of a puzzle
Prompts
- Themes from overall set?
- Making sense of data you have here?
- Followup questions
- Improving the dataset
Together
- Themes & topics
- Suggestions for further work
- Improving data quality
Opportunities
- Text mining
- Suggestion: Topic Modelling to ”encode bias”
Machine Learning and Human Learners
Our Roles as Pros in Human Learning
What’s the Worst that Can Happen?
