Artificial Intelligence (AI) - social, economic and ethical implications (May 13th, 2022 1 pm EST)
Join us on Facebook Live Friday May 13th, 11 am EST / 5 pm CET for a discussion on the economic and ethical implications of AI.
As Artificial Intelligence (AI) and data driven machine learning models greatly influence how we think and act on a daily basis, important decisions increasingly are now being made by algorithms with far reaching impact on the planet. If the underlying data is faulty or has historical bias and prejudice built into it, the machines do not know right from wrong or have any intrinsic ethics built into their functioning. When efficiency, speed and profitability are prioritized over fairness and justice, it could have catastrophic consequences and can increase inequity and polarize humanity even further.
“The yogi begins to understand emptiness (shunyata)—how actions arise from one’s perception of reality and how reality is never separate from one’s perception of it”
Sharon Gannon in Yoga and Veganism
Meet our panelists
Krishnaram Kenthapadi PhD
Krishnaram Kenthapadi is the Chief Scientist of Fiddler AI, an enterprise startup building a responsible AI and ML monitoring platform. Previously, he was a Principal Scientist at Amazon AWS AI, where he led the fairness, explainability, privacy, and model understanding initiatives in Amazon AI platform. Prior to joining Amazon, he led similar efforts at the LinkedIn AI team, and served as LinkedIn’s representative in Microsoft’s AI and Ethics in Engineering and Research (AETHER) Advisory Board. Previously, he was a Researcher at Microsoft Research Silicon Valley Lab. Krishnaram received his Ph.D. in Computer Science from Stanford University in 2006. He serves regularly on the program committees of KDD, WWW, WSDM, and related conferences, and co-chaired the 2014 ACM Symposium on Computing for Development. His work has been recognized through awards at NAACL, WWW, SODA, CIKM, ICML AutoML workshop, and Microsoft’s AI/ML conference (MLADS). He has published 50+ papers, with 4500+ citations and filed 150+ patents (70 granted). He has presented tutorials on privacy, fairness, explainable AI, and responsible AI at forums such as KDD ’18 ’19, WSDM ’19, WWW ’19 ’20 '21, FAccT ’20 '21, AAAI ’20 '21, and ICML '21.
Lucy Koechlin PhD
Lucy Koechlin is Senior Lecturer at the Institute of Social Anthropology and Centre for African Studies, University of Basel, Switzerland, and Director of Accountability and Anti-Corruption at Stream House AG. Her research, teaching and publications focus on governance, political transformations, emancipatory urban politics, and sustainability, with particular expertise in Africa. Lucy also has extensive experience in anti-corruption and accountability systems, having provided expertise to governments, civil society as well as the private sector internationally. Currently she is very engaged in a variety of global direct democracy initiatives aimed at creating spaces of debate and systems of decision-making on the most pressing issues of our time.
Mark Ritzmann PhD
Dr. Mark Ritzmann has worked in the field of data and analytics for over 20 years. He has worked in the vertical areas of government/public sector, financial services, energy and utilities, healthcare, and telco. He has worked for Capgemini, IBM, Oracle, Endeca, and American Express as well as a number of start-ups. He is currently on faculty at Columbia University where he teaches AI and applied analytics. His current project work includes AI engineering, ML, high performance / supercomputing, edge / cloud technologies and networking technologies. While at Capgemini, Dr. Ritzmann spearheaded his group's response to the Covid-19 pandemic and led a team that developed a platform that won the prestigious Call for Code competition sponsored by the UN, The Linux Foundation, The Clinton Global Initiative and IBM. Dr. Ritzmann has conducted primary research in the areas of machine learning, missing data imputation, and decision making under uncertain conditions. He is currently studying human centered AI, which encompasses explainability and ethical application.
Hari Mulukutla
Hari Mulukutla is CEO of Jivamukti Global and founder of Charter for Change, a forum for informative conversations on social justice. Hari is also founding managing director of Stream House, an anti-corruption consulting firm, with a global expertise network that assists countries that are victims of financial fraud and corruption. Hari has worked for the United Nations, the World Bank and the EU, delivering training and anti-corruption solutions in Africa, Asia and the Balkans. Hari is a firm believer that AI technology is an empowering tool that must be deployed fairly, ethically and for the benefit of everybody not just the prosperous few.