Is it possible to create ethical AI that truly incorporates ethnic diversity?

And is it possible to avoid creating AI that doesn’t embed bias and perpetuate stereotypes?

And…do we want to?

From having worked on the ethics behind lethal autonomous weapons in the past, Emmanuel is here to discuss the ethics behind AI.

Meet Emmanuel R. Goffi

Emmanuel’s Role as an AI Leader at Global AI Ethics Institute

Emmanuel R. Goffi is the Co-Director & Co-Founder of the Global AI Ethics Institute. The Global AI Ethics Institute (GAIEI) aims at opening the debate on AI ethics to all philosophical stances, wisdoms and perspectives coming from all cultures. It is a global think tank built as a hub for researchers, thinkers and practitioners working in the field of AI ethics all around the world.

Emmanuel’s Other Work in AI Ethics

Besides his work with GAIEI, Emmanuel is a Research Fellow with the Society and Technology Study Center CEST POLI USP, a Lecturer at the IA Institut, a Professor at Collège La Cité, and an Instructor at the Vectors Institute. He is also a tech ethics commentator with Trench Tech. In addition, Emmanuel has co-founded Collectif des éthiciens du numérique and Digital Ethicists.

Emmanuel served in the French Air Force for 27 years. After having worked on military ethics - more precisely on ethics applied to Lethal autonomous weapons - his focus turned to the ethics applied to Artificial intelligence. He was awarded the National Defense Medal by the French Ministry of Defense in 2004, the Voluntary Military Services Medal by the French Air Force in 2010, and the Silver National Defense Medal by Ministère des Armées France in 2020.

Ethical AI, Diversity, and Bias

In this exclusive analytics podcast episode, Emmanuel shares:

• His experience serving in the French Air Force for 27 years


• His current role as the Co-Director & Co-Founder of the Global AI Ethics Institute


• Whether or not it's possible to create ethical AI with ethnic diversity


• Incorporating human weaknesses into AI


• Unconsciously embedding your own bias into AI


• How to avoid embedding bias into AI


• Whether it's possible to create harmony and unite all cultures when creating an AI


• The challenges that arise when trying to create diverse AI ethics boards


• The most pressing ethical issues facing AI today


• How the lack of diversity in the field of AI development can lead to biassed algorithms and decision making


• Including less advanced societies in AI ethics and diversity


• Avoiding situations similar to how AI image-generators are perpetuating stereotypes due to taking information from the wide Internet


• His advice for individuals or organisations just starting to think about the ethical implications of their AI systems and promoting diversity in the field

If you are looking to incorporate ethical AI and diversity into your organisation, this is the episode you do not want to miss.