Artificial intelligence (AI) is not neutral. The way robots are built, trained and used has a major impact on our everyday lives and societies. After all, how a robot interacts with people of different origins, cultures, genders, sexual orientation depends on who built the system and what training data was used for programming. With the consequences and problems of a lack of diversity, the project advocates for a critical reflection of the design processes and creates examples for a diverse vision of the future with and through AI.
The lecture will take place on Thursday, July 07 at 2 pm.
Moderation: Dr. Jeannette Neustadt and Alexandra Stang
To participate in the event, please register under this
link.
Dr. Christelle Scharff
Dr. Scharff is a Professor of Computer Science at Pace University. She has a Ph.D. in Symbolic Artificial Intelligence from INRIA (French Institute for Research in Computer Science and Automation) in France. Her research focuses on global software engineering and ICTD. She was awarded grants from NSF, IBM, Microsoft, VentureWell, and Google. She has been a Fulbright scholar in Senegal in 2012 and 2019.
Octavio Kulesz
Octavio Kulesz from Argentina is a digital publisher, entrepreneur, and director of Teseo, one of the first academic e-publishing houses in Latin America. Octavio’s work focusses on issues related to cultural industries in the digital age. He contributed to UNESCO’s 2018
Re|shaping Cultural Policies: Advancing Creativity for Development global report, wrote the UNESCO publication
Culture, Platforms and Machines (2018) as well as several reports on digital trends in emerging regions, such as
Digital Publishing in Developing Countries (2011). Since 2012, he has been a coordinator for the Digital Laboratory of the International Alliance of Independent Publishers and in 2019 was selected as a member of the 2019–2022 EU/UNESCO Expert Facility, which supports the implementation of the 2005 Convention on the Protection and Promotion of the Diversity of Cultural Expressions. In 2020, Octavio was appointed to UNESCO’s Ad Hoc Expert Group (AHEG) for the Recommendation on the Ethics of Artificial Intelligence, the first global standard-setting instrument in this field.
Muthoni Wanyoike
Muthoni is the Co-founder of Nairobi Women Learning & Data science, as well as an organising member of one of the largest AI focused conferences in Africa, Deep Learning Indaba. She is also a Team leader at InstaDeep Kenya. She is fervent about implementing world-class AI opportunities in Africa. With a bachelor’s degree in Actuarial science, she worked at Code For Africa’s Storylab Academy, educating journalists in digital skills. She is conversant with research data analytics, community and project management, & community growth hacking.
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