Fairness, Accountability, Transparency in AI at Scale: Lessons from National Programs

The panel aims to elucidate how different national governmental programs are implementing accountability of machine learning systems in healthcare and how accountability is operationalized in different cultural settings in legislation, policy and deployment. We have representatives from three different governments, UAE, USA, UK, Australia, Singapore and Maldives who will discuss what accountability of AI and machine learning means in their contexts and use cases. We hope to have a fruitful conversation around FAT ML as it is operationalized across cultures, national boundaries and legislative constraints. The panel will delve into how each government conceptualizes what constitutes fairness, accountability and transparency within their cultural context and how these inform their policies.

Meet the panelists 

Anja
Anja Thieme, Senior Researcher, Microsoft Research 

Anja is a human-computer interaction (HCI) researcher in the Healthcare Intelligence group at MSR Cambridge. Her research explores innovative approaches for applying AI and Machine Learning (ML) in real-world applications. Her  current work (Project Talia) investigates how AI can become a useful vehicle in supporting the quality of care that is delivered through online psychotherapy programs. Taking a human-centred approach, she stuides how to create (clinically) useful, interpretable and actionable ML insights that have the potential to improve the mental health outcomes of people who live with depression and anxiety; and can empower healthcare professionals in their work practices.

Mohamed Shareef
Mohamed Shareef, Permanent Secretary of the Ministry of Communication, Science and Technology, Maldives.

He was the Vice Rector at the Cyryx College, a leading higher education and training institute in the Maldives from 2014 to 2018. Shareef was the Chief Information Officer (ClO) at the National Centre for Information Technology (NCIT), Government of Maldives. NCIT is the central organization responsible for developing Electronic Government in the country. From Sept 2008 to Feb 2011 he a was Researcher at the Center for Electronic Governance, United Nations University International Institute of Software Technology in Macao SAR China. Mohamed Shareef holds a Master of Engineering (MEng) degree from the University of Birmingham, UK.

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Vidushi Marda, Programme Officer, ARTICLE 19

Vidushi Marda is a legal researcher interested in the interplay between emerging technologies, policy, and society. She currently work as Programme Officer with ARTICLE 19‘s Team Digital, where her primary focus is on the ethical, legal, and regulatory issues that arise from algorithmic decision making. More specifically, she looks at the human rights implications of machine learning. She also work on strengthening human rights considerations in internet infrastructure, particularly at internet governance bodies like ICANN and the IEEE. Additionally, she is a non-resident research analyst at Carnegie India, where her work focuses on the intersection of rights and artificial intelligence. She is also a Research Associate at University of Amsterdam where she looks at content regulation vis-a-vis increased dominance of private platforms on the Internet. Her work has been cited by the Supreme Court of India in a seminal ruling on the Right to Privacy, the United Kingdom House of Lords Select Committee on Artificial Intelligence, and the United Nations Special Rapporteur on the promotion and protection of the right to freedom of opinion and expression.

Narsis Kiani
Narsis A Kiani, Assistant professor, Centre for Molecular Medicine, Karolinska Institute

Dr Narsis A. Kiani is Assistant professor and the Co-leader of the Algorithmic Dynamics Lab (AlgoDynLab) at the Department of Medicine of the Karolinska Institute. AlgoDynLab specialises in the translation of mathematical tools to biology and medicine with a particular focus on new AI techniques that combine the power of statistical machine learning and symbolic computation through a universal inference engine.  She is the de facto leader of Cancer Core Europe AI task force and serves as EU commission expert since 2018 in the field of computational medicine and AI.

 

 

 

 

 

Panel Moderated by

Meet the moderators who will steer you through this discussion 

Muhammad

Muhammad Aurangzeb Ahmad

Dept. Of Computer Science and Systems, University of Washington Tacoma 

KenSci. Inc 

muhammad@kensci.com

Ankur B& W

Prof. Ankur Teredesai 

Dept. Of Computer Science and Systems, University of Washington Tacoma 

KenSci. Inc 

ankur@kensci.com

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Join this discussion 

  • Join us on January 29, 2020 | 2 PM @ The Plenary Room
  • Meet and interact with the panel and moderators 
  • Engage in conversations about Fairness in ML
  • See how governments are leveraging Fair ML practices

Sign up

About ACM FAT Conference

ACM FAT* is an interdisciplinary conference dedicated to bringing together a diverse community of scholars from computer science, law, social sciences, and humanities to investigate and tackle issues in this emerging area. Research challenges are not limited to technological solutions regarding potential bias, but include the question of whether decisions should be outsourced to data- and code-driven computing systems. We particularly seek to evaluate technical solutions with respect to existing problems, reflecting upon their benefits and risks; to address pivotal questions about economic incentive structures, perverse implications, distribution of power, and redistribution of welfare; and to ground research on fairness, accountability, and transparency in existing legal requirements.

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