45 episodes

The rise of AI presents important legal and ethical challenges for society. In this podcast, we invite leaders from different industries and creators of new AI to debate the big questions. From the future of work to the future of our humanity, stay tuned to learn more.

Got questions or want to be involved? Email us at contact@aiasiapacific.org

AI Asia Pacific Institute Podcast AI Asia Pacific Institute

    • Society & Culture
    • 5.0 • 2 Ratings

The rise of AI presents important legal and ethical challenges for society. In this podcast, we invite leaders from different industries and creators of new AI to debate the big questions. From the future of work to the future of our humanity, stay tuned to learn more.

Got questions or want to be involved? Email us at contact@aiasiapacific.org

    #41: The AI Landscape & Governance in Australia and India

    #41: The AI Landscape & Governance in Australia and India

    This podcast series details our most recent publication '2022 Trustworthy Artificial Intelligence in the Asia-Pacific Region'. The report provides continuity to the work the AI Asia Pacific Institute (AIAPI) published in 2021, but adopts a more in-depth focus on Singapore, Japan, South Korea, Australia, and India.

    The report assesses each country based on the following indicators: best practices; opportunities and challenges; and prospects for collaboration, for the end goal of assessing each country’s unique approach to Trustworthy AI, and identifying mutual grounds as impetus for regional and international collaboration.

    In this podcast, we will dissect the salient points and key findings from our study, looking closely at Australia and India to locate convergence for greater collaboration and coordination amid increasing pressure for regulation and international collaboration to advance trustworthy AI in the Asia Pacific region.

    This conversation covers the recent report published by the AI Asia Pacific Institute '2022 Trustworthy Artificial Intelligence in the Asia-Pacific Report'.

    ***

    For show notes and past guests, please visit https://aiasiapacific.org/podcast/

    For questions, please contact us at contact@aiasiapacific.org or follow us on Twitter or Instagram to stay in touch.

    • 55 min
    #40: The AI Landscape & Governance in Singapore, South Korea and Japan

    #40: The AI Landscape & Governance in Singapore, South Korea and Japan

    This podcast series details our most recent publication '2022 Trustworthy Artificial Intelligence in the Asia-Pacific Region'. The report provides continuity to the work the AI Asia Pacific Institute (AIAPI) published in 2021, but adopts a more in-depth focus on Singapore, Japan, South Korea, Australia, and India.  

    The report assesses each country based on the following indicators: best practices; opportunities and challenges; and prospects for collaboration, for the end goal of assessing each country’s unique approach to Trustworthy AI, and identifying mutual grounds as impetus for regional and international collaboration.

    In this podcast, we will dissect the salient points and key findings from our study, looking closely at Singapore, Japan and South Korea to locate convergence for greater collaboration and coordination amid increasing pressure for regulation and international collaboration to advance trustworthy AI in the Asia Pacific region.

    This conversation covers the recent report published by the AI Asia Pacific Institute '2022 Trustworthy Artificial Intelligence in the Asia-Pacific Report'.

    ***

    For show notes and past guests, please visit https://aiasiapacific.org/podcast/

    For questions, please contact us at contact@aiasiapacific.org or follow us on Twitter or Instagram to stay in touch.

    • 59 min
    Season 4: Asia-Pacific Collaboration & AI Governance

    Season 4: Asia-Pacific Collaboration & AI Governance

    AI is transnational and borderless. As AI developments unfold at such unprecedented scale and pace, the call for building trustworthy AI has been resounding. To achieve it, international cooperation is crucial.

    Join us for a whole new season of this Podcast, where we are deepen our research aiming to promote and amplify collaboration in the Asia-Pacific region.

    We will dissect Singapore, Japan, South Korea, Australia and India to find convergence for greater collaboration and coordination amid increasing pressure for regulation and international collaboration to advance trustworthy AI in the Asia-Pacific.

    Subscribe now, wherever you are listening to join these conversations.

    • 1 min
    #39: Algorithmic Decisions for Security, Standardisation and Trustworthy AI

    #39: Algorithmic Decisions for Security, Standardisation and Trustworthy AI

    "Regulation is coming" — David Berend

    David Berend is leading the standardisation of AI Security in Singapore where he and his team are about to publish the world first version of the standard in the next 2 months. Furthermore, he developed the research tools for AI quality assurance as part of his Ph.D., which he is now commercialising as a spin off from Nanyang Technological University, Singapore. Finally, he is member of the German Standards Commission and ISO, to integrate the Singapore Standard Achievements into global context.

    ***

    For show notes and past guests, please visit https://aiasiapacific.org/podcast/

    If you have questions, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.

    • 45 min
    #38: Algorithmic Decisions & Power and Sustainability

    #38: Algorithmic Decisions & Power and Sustainability

    "What always needs to be at the forefront: what physical and regulatory constraints is your system contending with at any given time and how do you design a suite of methods that actually satisfy those constraints" — Priya L. Donti

    Priya L. Donti is a Ph.D. student in the Computer Science Department and the Department of Engineering & Public Policy at Carnegie Mellon University, co-advised by Zico Kolter and Inês Azevedo. She is also co-founder and chair of Climate Change AI, an initiative to catalyze impactful work at the intersection of climate change and machine learning.

    Her work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Specifically, Priya's research explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning models. Please see here for a list of her recent publications.

    Priya is a member of the MIT Technology Review 2021 list of 35 Innovators Under 35, and a 2022 Siebel Scholar. She was previously a U.S. Department of Energy Computational Science Graduate Fellow, an NSF Graduate Research Fellow, and a Thomas J. Watson Fellow. Priya received her undergraduate degree at Harvey Mudd College in computer science and math with an emphasis in environmental analysis.

    ***

    For show notes and past guests, please visit https://aiasiapacific.org/podcast/

    If you have questions, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.

    • 42 min
    #37: Algorithmic Decisions & the Financial Industry

    #37: Algorithmic Decisions & the Financial Industry

    In this conversation, we covered many practical recommendations on operationalising ethics of AI, discussed FEAT, Singapore’s framework for the financial industry and arrived at some predictions in relation to what’s next for the industry.

    David Hardoon is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines, Chair of Data Committee at Aboitiz Group and acting in capacity of Managing Director for Aboitiz Data Innovation. He is also an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB) and to Singapore's Central Provident Fund Board (CPF). 

    Prior to his current roles, David was Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group. In these roles he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as driving efforts in promoting open cross-border data flows. David pioneered the regulator and central bank adoption of data science as well as establishment of the Fairness, Ethics, Accountability and Transparancy (FEAT) principles, first-of-a-kind guidelines for adopting Artificial Intelligence in the financial industry, as well as establishing the MAS-backed Veritas consortium.

    …..

    Hardeep Arora has around 21yrs of experience in Analytics and Data Science Technology in Financial Services. He is based out of Singapore and is heading the AI Research and Engineering at a social media startup called Aaqua where he is building their AI infrastructure and engineering team. Hardeep was the head of AI in FS @ Element AI, where he worked on numerous client engagements, including MAS Veritas Phase 1. He also did a brief stint in Accenture Singapore where he setup an AI Lab focusing on Financial Services use-cases.  He also spent more than a decade working in AI and Analytics teams in banks including Standard Chartered, JP Morgan, and Barclays.

    Hardeep has a graduate degree in Computer Science and MBA in Finance, he is AI advisor for few startups in the region, and a regular speaker at events in Singapore.

    ***

    For show notes and past guests, please visit https://aiasiapacific.org/podcast/

    If you have questions, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.

    • 1 hr 1 min

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