AI Ethics Insider
Maya Sherman
IAEAI Scientific Council Member
India
India
This edition of the AI Ethics Insider series presents an in-depth discourse on algorithmic bias and discrimination in artificial intelligence systems. Featured speaker Maya Sherman, together with the host, Tim Kogan, examines the multifaceted ethical challenges and societal implications of biased AI. The discussion encompasses analysis of bias manifestation across various domains, including criminal justice, healthcare, and employment practices. The speaker elucidates current mitigation strategies and their efficacy, while also exploring the philosophical tensions inherent in the pursuit of AI fairness. This discussion offers a critical examination of the interplay between technological advancement, ethical considerations, and regulatory frameworks in shaping the future of AI development and deployment.
Maya Sherman is an AI Policy Researcher, Ethicist, Board Member, and Lecturer with an MSc from Oxford Internet Institute. She is the first Israeli expert in the Global Partnership on Artificial Intelligence, co-leading AI literacy programmes in the Future of Work Committee. Her studies focus on the intersectionality of AI and disinformation and the socio-cultural factors of digital innovation. Maya is the member of IAEAI's Scientific Council.
Maya Sherman is an AI Policy Researcher, Ethicist, Board Member, and Lecturer with an MSc from Oxford Internet Institute. She is the first Israeli expert in the Global Partnership on Artificial Intelligence, co-leading AI literacy programmes in the Future of Work Committee. Her studies focus on the intersectionality of AI and disinformation and the socio-cultural factors of digital innovation. Maya is the member of IAEAI's Scientific Council.
Dr. Laurynas Adomaitis
IAEAI Scientific Council Member
France
France
Join Dr. Laurynas Adomaitis in exploring the world of deep fakes and AI ethics in this eye-opening episode of AI Ethics Insider. Uncover the truth about deep fakes and their implications on our perception of reality. Don't miss out on this insightful discussion - subscribe to stay updated on AI ethics insights!
Dr. Laurynas Adomaitis is a member of the IAEAI's Scientific Council, an AI Ethics Researcher at CEA (French Alternative Energies and Atomic Energy Commission), Senior Lecturer on Tech Ethics at emlyon business school, and Visiting Lecturer at SupOptique.
Dr. Adomaitis' research areas are AI Ethics, Data Ethics, Robot Ethics, Technology Evaluation, AI for Security. He teaches “Ethics in the data driven world” as part of the MSc in digital marketing & data science at emlyon Paris campus.
Dr. Laurynas Adomaitis is a member of the IAEAI's Scientific Council, an AI Ethics Researcher at CEA (French Alternative Energies and Atomic Energy Commission), Senior Lecturer on Tech Ethics at emlyon business school, and Visiting Lecturer at SupOptique.
Dr. Adomaitis' research areas are AI Ethics, Data Ethics, Robot Ethics, Technology Evaluation, AI for Security. He teaches “Ethics in the data driven world” as part of the MSc in digital marketing & data science at emlyon Paris campus.
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