ASIA’S FIRST GATHERING FOR INDUSTRY LEADERS IN AI GOVERNANCE
20 November | Main Conference Day 2
20 November | Main Conference Day 2
8:15 am - 9:00 am
Registration Opens
9:00 am - 9:05 am
Welcome Address by Responsible AI Summit Asia
9:05 am - 9:10 am
Opening Remarks by Chairperson
9:10 am - 9:50 am
Panel Discussion: Adapting for Tomorrow: Addressing the Human Impact of AI in the Workplace
John Ang -
Group Chief Technology Officer,
EtonHouse International Education Group
Yujia Gao - Assistant Group Chief Technology Officer, National University Health System, Singapore
Nelson Ng - Head of Compliance and Risk Management, BNI Securities Pte. Ltd.
Explore the critical implications of AI on employment and strategies for navigating this transformational shift. This panel discusses proactive approaches for businesses to openly discuss, understand & mitigate the impact on jobs while embracing AI innovation responsibly.
- Investing in reskilling and upskilling programs to empower employees for future roles in AI-driven environments
- Fostering open communication channels to address concerns and ensure transparency about AI integration plans
- Implementing inclusive AI strategies that prioritize human well-being and job retention alongside technological advancement
Yujia Gao
Assistant Group Chief Technology OfficerNational University Health System, Singapore
10:50 am - 11:10 am
Speed Networking Session
11:20 am - 11:50 am
Morning Break & Refreshments
11:40 am - 12:10 pm
Operationalising Responsible AI in Banking: Balancing Innovation with Integrity
Vanessa Li -
Director, Advanced Analytics and AI,
Standard Chartered Bank
- Strategies for aligning AI deployment with evolving governance and ethical standards in risk and compliance functions
- Navigating the complexities of data strategy, privacy, and fairness while managing large-scale AI models in regulated financial environments
- Sharing of real-life examples of embedding Responsible AI principles across the AI lifecycle within banks and financial institutions
12:10 pm - 12:40 pm
Industry Thought Leadership
12:40 pm - 1:10 pm
Scaling AI in Fintech: Battle Scars, Regulation, and Responsible Innovation
Ishan Agrawal -
Head of Engineering, AI, Data & Growth,
Airwallex
1:10 pm - 2:10 pm
Networking Lunch Break
Structured to maximise audience interaction and participation, our specially curated IDGs focuses on different industry challenges. Each session allows you to zone-in and focus on the topics that matter most to you, providing an opportunity for you to not only learn from your peers first-hand but share your challenges actively as well.
2:10 pm - 3:50 pm
Roundtable E: Inclusion by Design: Building AI for All
2:10 pm - 3:50 pm
Roundtable F: Generative AI and the Ethics of Creativity
Zane Lim -
Director, Generative AI (APAC),
Manulife
2:10 pm - 3:50 pm
Roundtable G: Building a Responsible AI Talent Pipeline
2:10 pm - 3:50 pm
Roundtable H: Operationalising Enterprise AI Governance for Trustworthy Innovation
Mama M'hamed -
Responsible AI Leader ,
Abbvie Inc.
3:50 pm - 4:20 pm
Afternoon Break & Refreshments
4:20 pm - 4:50 pm
AI in Pharma: Driving Value Responsibly — A Conversation Between Business and Ethics
Sherene Cham -
Regional Director, Ethics & Compliance – APAC,
A. Menarini Asia Pacific
- Two sides of the same AI coin: how to unlock AI-driven commercial value without compromising governance
- Building governance into growth by robust SOPs, risk frameworks, and regulatory alignment across diverse APAC markets
- Ensuring compliance, IP protection, and brand trust in a highly regulated industry through cross-functional resilience
4:50 pm - 5:30 pm
Fireside Chat: Ensuring Ethical AI: Mitigating Bias and Hallucinations in Generative Models
Prem Kumar -
Director, Head of Ethics and Compliance,
Takeda
Explore strategies to overcome bias and hallucinations in generative AI models for inclusive datasets. Learn how varying data governance leaders in leading organizations are:
- Employing diverse datasets and rigorous testing to identify and mitigate biases
- Implementing ethical guidelines and validation processes to ensure inclusivity and fairness
- Collaborating with diverse stakeholders to address ethical concerns and promote transparency
