Jul

AI fairness and non-discrimination. (Open Ethics Series, S01E03)

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Event description

For CTOs and Product Owners who want to build trust between their AI products & end-users, reduce bias and build reliable fairness models.

About this event

Agenda S01E03

Fairness and how it is impacted by historic bias, incompleteness and bad data governance.

Applying Universal Design principles to AI systems. Accessibility criteria.

Trust and hybrid approaches in identifying and mitigating human bias in AI systems.

Why different fairness definitions usually cannot be satisfied at the same time?

Panelists

Gunay Kazimzade

Gunay Kazimzade is a Doctoral Researcher on Artificial Intelligence at the Weizenbaum Institute for the Networked Society in Berlin, Germany.

Gunay is also a Ph.D. student in Computer Science at the Technical University of Berlin. Her main research directions are gender and racial bias in AI, inclusiveness in AI, and AI-enhanced education.

She is a TEDx speaker and spokesperson in more than 100 international academic and industrial conferences. Currently, she is managing the social platform “TechCentrum” which is aiming for knowledge exchange in the Emerging Tech field.

Mykola Pechenizkiy

Mykola Pechenizkiy is Professor of Data Mining at the Department of Mathematics and Computer Science, TU Eindhoven. His core expertise and research interests are in predictive analytics and its application to real-world problems in industry, medicine and education. He leads the Responsible Data Science interdisciplinary research program aiming at developing foundations for trustworthy AI and techniques for informed, accountable and transparent analytics.

Over the past decade he has co-authored more than 150 peer-reviewed publications and served on the program committees of the leading data mining and AI conferences.

Roman Lutz

Roman Lutz is a Software Engineer at Microsoft’s AzureML Responsible AI team. He primarily works on Fairlearn, an open source toolkit that helps data scientists assess and mitigate unfairness in their machine learning models. Besides typical software engineering responsibilities Roman’s focus is on building a community around Fairlearn. This includes helping aspiring contributors get started with open source development, collaborating with universities on various projects, as well as plenty of discussions about fairness in ML as a sociotechnical challenge.

Before joining Microsoft Roman graduated with a MS in Computer Science from UMass Amherst and a BSc from University of Ulm in Germany. He currently lives in Seattle, enjoys the nature in the Pacific Northwest, and is passionate about diversity & inclusion as well as sustainability.

Nikita Lukianets [moderator]

Nikita Lukianets, a Founder of the Open Ethics initiative that fosters the inclusive dialogue between experts and citizens to design systems where humans and AI successfully work together. Nikita is also a Founder and CTO at PocketConfidant AI, a 24/7 coaching technology powered by artificial intelligence.

Nikita Lukianets has more than 10 years of experience in Human-Computer Interaction and has partnered with multiple organizations to help them build human-centered interfaces. While working in Microsoft at Developer and Platform Evangelism Division, Nikita was leading a startup support program helping young technology companies to develop their products for scale.

Nikita received an MBA in innovation management from Politecnico di Milano School of Management and M.Sc. in Applied Physics from Kyiv Polytechnic Institute.

Open Ethics Series

Open Ethics Series is the chain of educational events around impact of artificial intelligence. The first Series aims to cover the main principles emerging from the broad range of discussions on requirements for development and deployment of AI. The topics will include those that are part of the Ethics guidelines for trustworthy AI by European Commission (Privacy & data governance, Human agency & oversight, Robustness & safety, Transparency, Fairness, Societal & environmental well-being, Accountability), as well as additional topics proposed by the community.

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Disclaimer

The information presented by panelists during the Open Ethics Series does not necessarily reflect the position or policy of their employers. Any content provided by our panelists is of their opinion and is not intended to malign any religion, ethnic group, club, organization, company, or individual.