AI
Free
Singapore (Online)
Wednesday, 27 August, 2025
5:30
–
6:30
am
EDT
An Introduction to AI Risk and Governance
About This Event
AI is being used more widely across industries, and with that comes new types of risk — like bias, lack of transparency, and potential misuse. In this one-hour session, we’ll give a clear overview of what "AI risk" means and how different parts of the world are approaching it.
We’ll look at the AI Risk types like hallucination, overreliance, and see how they are accounted for in major global frameworks, including those from NIST (USA), IMDA (Singapore), ISO, and the OECD. You’ll also hear how AI risk connects to your existing risk, audit, or compliance programs. This session is best for anyone starting to explore AI governance and looking to understand the basics.
Takeaways
Understand key types of AI risk, including bias, lack of explainability, robustness, privacy, and misuse
Get an overview of major global frameworks: NIST, IMDA, ISO 42001, etc.
Learn how AI risk connects to Enterprise Risk Management (ERM) and technology risk processes
See how AI governance relates to legal exposure, audits, and internal controls
About the Instructor
Divya Venkatraman
BE, MSc & PhD (NTU, Singapore)
Divya is a hands-on technologist with a passion for solving real-world problems with an interdisciplinary approach. Currently she switches time between providing data science/AI consulting services to organizations in APAC (mainly startups) and teaching/mentoring adult learners making a shift into the tech industry.
Divya started her career as a Software Engineer developing web-based applications for the US insurance industry while at Infosys, India. She received her masters and doctorate in Digital Signal processing (yester-year data science focussed on feature engineering) from Nanyang Technological University, Singapore. Including her graduate degree, Divya has been an ardent data science/AI practitioner for close to 15 years making the journey from a software engineer to a signal processing engineer to a researcher to an applied machine learning/ AI engineer working on multiple projects across different industry verticals such as Energy (Halliburton), eduTech (CRADLE@NTU), Risk Management (Sense Infosys), MedTech (AiHighway) and HRTech (InterviewerAI.) She specializes in processing sequence data that includes time-series signals like vibration, audio etc and natural language (both text & speech.)
Armed with industry experience, she started teaching the 3-month full time data science immersive bootcamp at General assembly, Singapore. Over the last few years she has tailored many custom curricula and taught various interdisciplinary courses spanning areas of data science, AI, software engineering, cloud architecting and AI for both consumer and enterprise clients. She also sits in the General Assembly Global Data Science Immersive product advisory group.
Currently she is an Adjunct Faculty at the SP Jain School of Global Management, Singapore and teaches the Applied Statistics for Decision Making (ASDM) for the GMBA and MGB cohorts. Her areas of interest include product analytics, natural language processing, and Explainable AI.
About Our Partners
DeepDive Labs is a consultancy that designs and develops custom SaaS tools and LLM-powered workflows for use cases such as responsible AI, cloud cost engineering, and AI risk management. In addition to tooling, it offers mid-career educational programs as a core part of its services—delivering focused, interactive courses and workshops tailored to teachers, students, and working professionals. Together, these offerings support the practical adoption of emerging technologies and evolving regulatory standards.
Community Code of Conduct
Your registration for or attendance at any General Assembly offering indicates your agreement to abide by this Community Code of Conduct policy and its terms.
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