Responsible AI for Data Science
Event hosted by AI Governance International
November 19, 2020 – November 19, 2020Online event
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Join the Responsible AI for Data Science experienceAbout 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