Implicazioni etiche per l’IA
Le preoccupazioni etiche includono:
- – Sorveglianza
- – Bias
- – La sicurezza dei dati
- – Trasparenza
- – Anonimato
- – Riconoscimento facciale
- – Dati inaffidabili
- – Spiegabilità (Explainability)
- – Responsabilità
“Coloro che sostengono l’etica nelle operazioni educative (e io sono uno di questi) devono rispondere a una vasta gamma di sfide etiche, come l’accessibilità e l’inclusione, e non solo le preoccupazioni più ristrette sulla mercificazione, le forze di mercato e la privacy (che, potrei dire forse un po’ audacemente, sono problemi del primo mondo). “
VIDEO and PRESENTATION: Ethical Codes and Learning Analytics – Stephen Downes
- Description: Presentation at EDEN 2020 Conference
- Link: https://www.downes.ca/presentation/523
WEB ARTICLE: The UK Examination Debacle August 2020 – Graham Attwell
- Link: https://www.pontydysgu.org/2020/08/ai-and-algorithms-the-uk-examination-debacle/
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
- What happens when Algorithms are used wrongly in education
- Che cosa succede quando gli algoritmi di Intelligenza Artificiale vengono usati erroneamente in educazione?
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
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
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
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/
BOOK: Artificial Unintelligence
- Description: How Computers Misunderstand the World, By Meredith Broussard
- Link: https://mitpress.mit.edu/books/artificial-unintelligence
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
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