Responsible AI for Data Science event

Responsible AI for Data Science

Calendar IconEvent hosted by AI Governance International

November 19, 2020 – November 19, 2020Online event

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About this event

From what to how: from high level AI ethics principles to practice - operationalizing AI ethics in business processes and in tech solutions.

First edition of the event series to be held every three months with a global outreach.
Experts with diverse backgrounds and perspectives share their insights and experience on how to implement AI ethics theoretical frameworks. Join in and ask your questions to the stellar speakers in Q&A sessions.

120 mins, 9 experts



Agenda

19:00
Prioritizing Wellbeing in the Age of the Algorithm
John C. Havens - IEEE, Executive Director, Global Initiative on Ethics of Autonomous and Intelligent Systems

Why Ethics Means Nothing to the Tech World: The Responsible Innovation Framework
Alka Roy - Founder at The Responsible Innovation Project, Guest lecturer on Responsible Innovation & AI at UC Berkeley

19:30
What If...? Learning from AI Failures to Design more Responsible Pipelines
Triveni Gandhi - Dataiku, Data Scientist

AI Observability: The Need for Centralized, Real-Time Monitoring in Model Governance
Victoria Vassileva - Arthur AI, Commercial Accounts

AI Responsibly Designed and Developed - Practical Insights and a Consistent Process
Ursula Maria Mayer - Founder & CEO at Sciform, Computational & Data Scientist

20:00
AI meets Self-Determination: A two-sided Look at ADM (algorithmic decision-making) Systems
Anne Schmucker - Mercedes-Benz AG, Data and SEM Strategy Lead Europe

Real-world Machine Learning Systems: more Trust and Understanding in Practice
Jean-Matthieu Schertzer - H2O.ai, Senior Data Scientist

20:30
The Business Case of Operationalizing AI Ethics (and how to do it)
Reid Blackman - Founder & CEO at Virtue Consultants, EY AI Advisory Board Member

The Near Future of Responsible Tech in the United States
Stacey Rolland - Polestar Principle LLC, Responsible Innovation Attorney

Who is it for?
AI/ML Developers - to grasp the idea of ethical issues to be considered during development process of the algorithms
Business Leaders and Consultants - to learn how to strategically apply practical solutions in business processes
AI Ethics Practitioners - to learn about real world applications of theoretical frameworks
AI Researchers - to explore state of the art of Responsible AI and identify topics for further research