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Ethical implications for AI
Ethical concerns include:
Surveillance
Bias
Data security
Transparency
Anonymity
Face recognition
Unreliable data
Explainability
Accountability
But see Stephen Downes Commenting on Mind the Ethics Gap – https://ammienoot.com/brain-fluff/mind-the-ethics-gap/ And saying “Those arguing for ethics in educational operation (and I am one) have to respond to a wide array of ethical challenges, such as accessibility and inclusion, and not merely more narrow concerns about commodification, market forces and privacy (which, if I may say perhaps a bit boldly, are very much first-world problems).”
Resources
VIDEO and PRESENTATION: Ethical Codes and Learning Analytics – Stephen Downes
- Description: Presentation at EDEN 2020 Conference
- Link: https://www.downes.ca/presentation/523
- [ENG]
WEB ARTICLE: The UK Examination Debacle August 2020 – Graham Attwell
WEB ARTICLE: New York Times When Algorithms Give Real Students Imaginary Grades – Meredith Broussard
- Description: Ms. Broussard is an artificial intelligence researcher at New York University.
- Link: https://www.nytimes.com/2020/09/08/opinion/international-baccalaureate-algorithm-grades.html
- [ENG]
WEB ARTICLES: 12 unexpected ways algorithms control your life
- Description: Mashable’s series Algorithms explores the mysterious lines of code that increasingly control our lives — and our futures.
- Link: https://mashable.com/article/how-algorithms-control-your-life/?europe=true
- [ENG]
WEB ARTICLE: When Algorithms Give Real Students Imaginary Grades
- Description: In-person final exams were canceled for thousands of students this spring, so computers stepped in — to disastrous effect. New york times article
- Links: https://www.nytimes.com/2020/09/08/opinion/international-baccalaureate-algorithm-grades.html
- [ENG]
VIDEO: Algorithmic Bias Explained
- Description: algorithms risk magnifying human bias and error on an unprecedented scale. Rachel Statham explains how they work and why we have to ensure they don’t perpetuate historic forms of discrimination
- Links: https://www.youtube.com/watch?time_continue=7&v=tia5OHE98F4&feature=emb_logo
- [ENG]
WEB ARTICLE: AI is Chaging the world – who will change AI
- Description: Artificial Intelligence (AI) technology is changing our world, but the workforces behind the cutting-edge systems produced are inconceivably male-dominated. This is not simply an issue because of the lost talent of capable women; it is also a much wider problem of future technology being shaped by a small section of society with a singular worldview. If AI systems only reflect white, male programmers, will AI systems actually be useful for our diverse world?
- Link: https://www.nesta.org.uk/blog/ai-changing-world-who-will-change-ai/
- [ENG]
BOOK: Artificial Unintelligence
- Description: How Computers Misunderstand the World, By Meredith Broussard
- Link: https://mitpress.mit.edu/books/artificial-unintelligence
- [ENG]
VIDEO: Why is ethics crucial in the development of AI?
- Description: How can an autonomous car take moral decisions? Do we want to bring a robot in a court of law to help make decisions, if we don’t know how it reaches its conclusions? Dafna Feinholz, Chief of the Bioethics and Ethics of Science Section of UNESCO, talks about the importance of ethics when it comes to AI, and introduces UNESCO’s work toward the first legal and global instrument on the ethics of AI.
- Links: https://www.youtube.com/watch?v=HzYG56HLxbI
- [ENG] [FR] [SP]