Women in tech: new frontiers of gender-related rights and artificial intelligence
A.A. 2021/2022
Obiettivi formativi
By the end of course, students should successfully be able to:
- Understand the notions of gender, discrimination, and artificial intelligence;
- Apply and developing individually a critical investigation on the topics presented during the course;
- Understand the laws and case-law presented during the course;
- Critically evaluate, compare and contrast diverse States' approaches towards the topics at issue.
- Understand the notions of gender, discrimination, and artificial intelligence;
- Apply and developing individually a critical investigation on the topics presented during the course;
- Understand the laws and case-law presented during the course;
- Critically evaluate, compare and contrast diverse States' approaches towards the topics at issue.
Risultati apprendimento attesi
By the end of course, students should be able to:
- Learning the gaps, conflicts, and challenges surrounding discriminatory law applied to artificial intelligence;
- Understanding the current controversies through a legal perspective;
- Analyzing laws and case-law on a national, comparative, and supranational approach;
- Developing and applying the notions discussed during the course.
- Learning the gaps, conflicts, and challenges surrounding discriminatory law applied to artificial intelligence;
- Understanding the current controversies through a legal perspective;
- Analyzing laws and case-law on a national, comparative, and supranational approach;
- Developing and applying the notions discussed during the course.
Periodo: Primo semestre
Modalità di valutazione: Giudizio di approvazione
Giudizio di valutazione: superato/non superato
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Progetto 4EU
Responsabile
Periodo
Primo semestre
Programma
Topics:
Artificial Intelligence: Notions and Challenges from a Human Rights Perspective
Gender, Discrimination and Artificial Intelligence
In-class students' discussion and presentation on assigned national and comparative case-law
Fourth Lesson: Guest Lecture Professor Catherine Régis
Artificial Intelligence: Notions and Challenges from a Human Rights Perspective
Gender, Discrimination and Artificial Intelligence
In-class students' discussion and presentation on assigned national and comparative case-law
Fourth Lesson: Guest Lecture Professor Catherine Régis
Prerequisiti
Nessuno
Metodi didattici
Lezioni frontali e presentazioni in classe degli studenti.
Materiale di riferimento
Suggested Preparatory Readings:
Buolamwini, J., Gebru, T., Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers, in Proceedings of Machine Learning Research, Conference on Fairness, Accountability, and Transparency, 2018.
World Economic Forum, Assessing Gender Gaps in Artificial Intelligence, Link: http://reports.weforum.org/global-gender-gap-report-2018/assessing-gender-gaps-in-artificial-intelligence/
AI Bias Could Put Women's Lives At Risk - A Challenge for Regulators, Link: https://www.forbes.com/sites/carmenniethammer/2020/03/02/ai-bias-could-put-womens-lives-at-riska-challenge-for-regulators/
How AI bots and voice assistants reinforce gender bias, Link: https://www.brookings.edu/research/how-ai-bots-and-voice-assistants-reinforce-gender-bias/
Artificial intelligence and gender equality: key findings of UNESCO's Global Dialogue, Link: https://en.unesco.org/system/files/artificial_intelligence_and_gender_equality.pdf
Documentary:
Coded Bias, 2020.
Buolamwini, J., Gebru, T., Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers, in Proceedings of Machine Learning Research, Conference on Fairness, Accountability, and Transparency, 2018.
World Economic Forum, Assessing Gender Gaps in Artificial Intelligence, Link: http://reports.weforum.org/global-gender-gap-report-2018/assessing-gender-gaps-in-artificial-intelligence/
AI Bias Could Put Women's Lives At Risk - A Challenge for Regulators, Link: https://www.forbes.com/sites/carmenniethammer/2020/03/02/ai-bias-could-put-womens-lives-at-riska-challenge-for-regulators/
How AI bots and voice assistants reinforce gender bias, Link: https://www.brookings.edu/research/how-ai-bots-and-voice-assistants-reinforce-gender-bias/
Artificial intelligence and gender equality: key findings of UNESCO's Global Dialogue, Link: https://en.unesco.org/system/files/artificial_intelligence_and_gender_equality.pdf
Documentary:
Coded Bias, 2020.
Modalità di verifica dell’apprendimento e criteri di valutazione
presentazioni in classe degli studenti di casi studiati
Docente/i
Ricevimento:
Previo appuntamento
Presso il Dipartimento di Diritto pubblico italiano e sovranazionale oppure su Ms. Teams