Women in Tech: New Frontiers of Gender-Related Rights and Artificial Intelligence
A.Y. 2022/2023
Learning objectives
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.
Expected learning outcomes
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.
Lesson period: First semester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
4EU
Responsible
Lesson period
First semester
Course syllabus
Topics:
Artificial Intelligence: Notions, Challenges, Impact on Human Rights
Artificial Intelligence and Discrimination
Artificial Intelligence: Discrimination and Gender
Artificial Intelligence and Women's Rights
Artificial Intelligence: Notions, Challenges, Impact on Human Rights
Artificial Intelligence and Discrimination
Artificial Intelligence: Discrimination and Gender
Artificial Intelligence and Women's Rights
Prerequisites for admission
None
Teaching methods
Frontal lessons and in-class presentations.
Teaching Resources
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.
Further readings will be suggested through the course.
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.
Further readings will be suggested through the course.
Assessment methods and Criteria
Students' in-class presentations
Professor(s)