Week 11: Psychology of Work in an Uncertain Future Flashcards
The list illustrates a picture of what?
-Digitisation
-Mobilisation
-Augumentation
-Disintermediation
-Automation
The unpredictable nature of future work
The skills we need are dramatically different
Combinatorial
Deleterious impacts of AI, or rather it’s use
The distrust in companies genuinely cultivating an ethical usage of AI, combined with the slack definition of ‘ethical’ in a new world were consequences and actions are produced from machinery. It begs the question, ‘What happens when machines break the law?’
Institute of Electrical and Electronics Engineers (IEEE)
Focuses on defining the standard ethical usage of products.
The Partnership on AI to benefit People and Society.
Corporation consortium. To frame the best practice for AI.
National Science Foundation
Amazon funding research institution mentioned in the question.
Biases in AI
The data input can reveal, whether intentional or implicit, data collected is skewed to represent a historical (or current) prejudice. They have the capacity to enhance implicit human thinking, and sometimes not for the better. A PR nightmare and legal trouble…a bias can become a global truth.
Edelman’s 2019 Barometer global survey
Only 56% of the general public trust big business with AI.
The three questions
Do we need laws?
Who is responsible for AI?
How do we safely implement rules and AI?
Gallup poll
25% displayed trust in companies from 4 European companies.
3 Principles of Trust around AI
Fairness
Trust
Accountability
MIT Media Lad and Harvard University
$27 million initiative on ethics and governance of AI
Stanford
100 year long study of AI
Carneige Melon Uni
Establishes a centre to explore ethics and AI