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Abstract
As AI matures, its limitations have also come to light, ranging from biased output to ever-increasing computing resources required to train and deploy models. These limitations are not trivial as AI becomes more embedded in daily life. It is unclear whether these obstacles will lead to another “AI winter” where investment and research will decline or focus attention on current shortcomings in existing AI-based systems and their knock-on societal implications. However, many governments have yet to tangibly address the larger issue of how to make AI technology accountable to society. High-minded lists of ethical principles and abstract national strategies do little to ensure that societal harms are mitigated and appropriately penalised, let alone incentivise the creation of safe and trustworthy AI-based systems.
Organised by the Future Issues and Technology Research Cluster with support from the Centre of Excellence for National Security, RSIS.
Speakers
Gerry Chng is an Executive Director in Deloitte’s Cyber Risk Advisory practice, specialising in cybersecurity and risk management. He has over 25 years of experience in cybersecurity advising clients on how to adopt technology innovations in a safe and controlled environment. He runs the Cyber Emerging Tech which includes addressing risks arising from technology such as algorithmic decision-making (AI/machine Learning). His other areas of specialisation cover building governance, risk, and compliance (GRC) programmes in both the IT and OT space to address the threat and regulatory landscape for private and public sectors. He also runs Detect & Respond services to help clients address the proactive need to assess their technology environment and incident response where needed.
David Leslie is the Director of Ethics and Responsible Innovation Research at The Alan Turing Institute. Before joining the Turing, he taught at Princeton’s University Centre for Human Values, where he also participated in the UCHV’s 2017-2018 research collaboration with Princeton’s Centre for Information Technology Policy on “Technology Ethics, Political Philosophy and Human Values: Ethical Dilemmas in AI Governance.” Prior to teaching at Princeton, David held academic appointments at Yale’s programme in Ethics, Politics and Economics and at Harvard’s Committee on Degrees in Social Studies, where he received over a dozen teaching awards including the 2014 Stanley Hoffman Prize for Teaching Excellence. He was also a 2017-2018 Mellon-Sawyer Fellow in Technology and the Humanities at Boston University and a 2018-2019 Fellow at MIT’s Dalai Lama Centre for Ethics and Transformative Values.
Discussant
Jungpil Hahn is an Associate Professor in the Department of Information Systems and Analytics at the School of Computing at the National University of Singapore (NUS). He served as the Head of the Department of Information Systems and Analytics from July 2015 to June 2021. Prior to joining NUS, he was an Assistant Professor of Management at the Krannert School of Management at Purdue University in West Lafayette and a Visiting Assistant Professor of Information Systems at the Tepper School of Business at Carnegie Mellon University in Pittsburgh. He has a Bachelor’s and Master’s degree in Business Administration from Yonsei University in Seoul, Korea and he earned his PhD in Information and Decision Sciences from the Carlson School of Management at The University of Minnesota.
Moderator
Teo Yi-Ling is a Senior Fellow with the Centre of Excellence for National Security at RSIS. A qualified Barrister-at-Law (England & Wales) and an Advocate & Solicitor (Singapore), Yi-Ling has practice experience with international and local law firms in the areas of intellectual property, technology, media and entertainment, and commercial law. In her capacity as Senior Faculty and Principal Legal Counsel for the IP Academy at the Intellectual Property Office of Singapore, she led the team that developed and launched a postgraduate degree programme in IP management, and a specialist certificate programme in intangible asset management. Yi-Ling holds an LL.B. (Hons) from the University of Liverpool, and an LL.M. (cum laude) from Northwestern University’s School of Law in Chicago. She is the author of Media Law in Singapore (Sweet & Maxwell), and has developed and taught courses in media law, intellectual property law, entertainment business transactions, and media ethics at tertiary institutions in Singapore, and in the U.S., Dutch, and Australian university systems.
