Envision AI workshops are one part of the implementation effort for the Microsoft Responsible AI Standard. In this session, we aim to provide policymakers with a practical experience of how we think through responsible AI problems with our product teams. The session will be highly interactive and discussion-based, as we cover how Microsoft is evolving the mindset of our product teams to ask difficult questions and the rules that we have developed to enact our AI principles.
People play a central role in the machine learning life cycle. Consequently, building machine learning systems that are reliable, trustworthy, and fair requires that relevant stakeholders—including developers, users, and the people affected by these systems—have at least a basic understanding of how they work. Yet what makes a system “intelligible” is difficult to pin down. Intelligibility is a fundamentally human-centered concept that lacks a one-size-fits-all solution. I will explore the importance of evaluating methods for achieving intelligibility in context with relevant stakeholders, ways of empirically testing whether intelligibility techniques achieve their goals, and why we should expand our concept of intelligibility beyond machine learning models to other aspects of machine learning systems, such as datasets and performance metrics.
Across every industry, organizations are looking to AI to adapt, evolve, and innovate in these unprecedented times. Join us as we explore responsible and transparent innovation in practice and implications for technical and business leaders.
Moderator:
Manuel Dias, National Technology Officer, Microsoft Portugal
Speakers:
Pedro Bizarro, Co-founder and Chief Science Officer, Feedzai
Maria Manuel Leitao Marques, Member, European Parliament
Arlindo Oliveira, Author and University Professor
Jenn Wortman Vaughan, Sr. Principal Researcher, Microsoft Research Jenn Wortman Vaughan is a Senior Principal Researcher at Microsoft Research, New York City. Her research background is in machine learning and algorithmic economics. She is especially interested in the interaction between people and AI, and has often studied this interaction in the context of prediction markets and other crowdsourcing systems. In recent years, she has turned her attention to human-centered approaches to transparency, interpretability, and fairness in machine learning as part of MSR’s FATE group and co-chair of Microsoft’s Aether Working Group on Transparency. Jenn came to MSR in 2012 from UCLA, where she was an assistant professor in the computer science department. She completed her Ph.D. at the University of Pennsylvania in 2009, and subsequently spent a year as a Computing Innovation Fellow at Harvard. She is the recipient of Penn’s 2009 Rubinoff dissertation award for innovative applications of computer technology, a National Science Foundation CAREER award, a Presidential Early Career Award for Scientists and Engineers (PECASE), and a handful of best paper awards. In her “spare” time, Jenn is involved in a variety of efforts to provide support for women in computer science; most notably, she co-founded the Annual Workshop for Women in Machine Learning, which has been held each year since 2006. She is currently serving as Program Co-chair for NeurIPS 2021.
Sr. Principal Researcher, Microsoft Research
Pedro Bizarro, Co-founder and Chief Science Officer, Feedzai Pedro Bizarro is co-founder and Chief Science Officer of Feedzai where he leads the Research department. Drawing on a history in academia and research, Pedro has turned his technical expertise into entrepreneurial success as he has helped to develop Feedzai’s industry-leading artificial intelligence platform to fight financial fraud. Pedro has been a visiting professor at Carnegie Mellon University, a Fulbright Fellow, and holds a Computer Science PhD from the University of Wisconsin-Madison. Pedro’s main interests are high performance data processing, machine learning, AI fairness, and data visualization.
Co-founder and Chief Science Officer, Feedzai
Maria Manuel Leitão Marques, Member of the European Parliament Maria Manuel has a law degree from University of Coimbra Law School, and a PhD in Economics from the same university. Since 2003, she is a Full Professor at the Faculty of Economics and Permanent Researcher at the Center for Social Studies at the University of Coimbra. She is the author and co-author of different books and articles on Public Regulation, Competition Law and Public Services.
Between 2015 and 2019, she was a Member of the Portuguese Parliament and Minister for the Presidency of the Council of Ministers and for Administrative Modernization. She was also Secretary of State for Administrative Modernization between 2007 and 2011.
In 2019 she was elected Member of the European Parliament. As part of her parliamentary activities, she is vice-chairman of the Committee on the Internal Market and Consumer Protection and an alternate member of the AIDA, ITRE and FEMM committees. Her work is mainly focused on the areas of digital, science and innovation, consumer protection and product safety, and gender equality. She integrates the Delegation to the ACP-EU Joint Parliamentary Assembly and the Delegation to the Euro-Latin American Parliamentary Assembly, where she is coordinator for the Socialists and Democrats Group.
Member of the European Parliament
Arlindo Oliveira, Author and University Professor Arlindo Oliveira was born in Angola and lived in Mozambique, Portugal, Switzerland and California. He obtained his BSc and MSc degrees in Electrical Engineering and Computer Science (EECS) from Instituto Superior Técnico (IST) and his PhD degree, also in EECS, from the University of California at Berkeley, where he was a Fulbright scholar. He was a researcher at CERN, the Electronics Research Laboratory of UC Berkeley and the Berkeley Cadence Laboratories. He is a distinguished professor of IST, president of INESC, member of the board of Caixa Geral de Depósitos and a researcher at INESC-ID. He authored three books, translated in different languages, and more than 150 articles in international conferences and journals, in the areas of algorithms, machine learning, bioinformatics and computer architecture. He has been on the boards of a number of companies and institutions and is a past president of INESC-ID and of the Portuguese Association for Artificial Intelligence. He is a senior member of the IEEE, a member of the Portuguese Academy of Engineering and was president of Instituto Superior Técnico between 2012 and 2019. He received a number of prizes and distinctions, including the Technical University of Lisbon / Santander prize for excellence in research, in 2009.
Author and University Professor
Manuel Dias, National Technology Officer, Microsoft Portugal With over 20 years’ experience in technology, Manuel Dias started his career at EFACEC as a Software Engineer in a R&D team developing real-time systems. In 2004 moved to OutSystems, a startup at the time, where he has held several leadership roles across engineering, pre-sales and product management.
He joined Microsoft in 2011, starting as a Data and AI Specialist and then as Analytics Lead covering all Data & Artificial Intelligence initiatives and working with the largest customers in Portugal. In 2018 took the Director of Enterprise Technical Sales position, managing a high specialized pre-sales team, while also being an AI Ambassador. Since October 2020, Manuel has been appointed as the National Technology Officer (NTO) of Microsoft Portugal, modeling Microsoft technology vision and driving innovation for Portugal.
Since 2015 Manuel is also an Invited Professor at NOVA Information Management School (NOVA IMS) in the Data Science and Advanced Analytics Master Degree Program and Researcher at NOVA Cidade Research Lab.
In 2018 Manuel co-founded and is currently Vice-President of the Data Science Portuguese Association (DSPA) and in 2019 founded the Power BI Portugal, a tech community with more than 2.000 members, aiming to democratize analytics skills across businesses and individuals.
Manuel graduated in Electrotechnical Engineering from Instituto Superior Técnico (IST) and holds a Master Degree in Information Systems from Instituto Superior de Gestão e Economia (ISEG), where he developed and published his research on Complexity and Chaos Theory.
National Technology Officer, Microsoft Portugal
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