













BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ISACA Chennai Chapter - ECPv4.9.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ISACA Chennai Chapter
X-ORIGINAL-URL:https://isaca-chennai.org
X-WR-CALDESC:Events for ISACA Chennai Chapter
BEGIN:VTIMEZONE
TZID:"Asia/Kolkata"
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID="Asia/Kolkata":20261114T170000
DTEND;TZID="Asia/Kolkata":20261114T190000
DTSTAMP:20261110T161344
CREATED:20261110T083747Z
LAST-MODIFIED:20261110T084439Z
UID:51127-1794675600-1794682800@isaca-chennai.org
SUMMARY:Nov 2026 PDM - AI-Driven Financial Services: Managing Model Risk\, Bias\, Transparency and Accountability
DESCRIPTION:Program Details: \nDate: Saturday\, November 14\, 2026\nMode: Virtual\nCPE: 2 hours \nAgenda: \n17:00 – 17:15: Virtual Networking\n17:15 – 17:18: Welcome by ISACA Chennai Chapter Director – Programs\n17:18 – 17:30: Chapter Updates & Speaker Introduction\n17:30 – 18:50: Session on “AI-Driven Financial Services: Managing Model Risk\, Bias\, Transparency and Accountability” by Dr. K. Riyazahmed\n18:50 – 19:00: Questions & Closing Remarks \nSynopsis: \nArtificial Intelligence is transforming financial services\, reshaping decision-making across banking\, financial markets\, insurance and investment management. While AI-driven models offer opportunities to improve predictive accuracy\, operational efficiency and financial accessibility\, their growing adoption raises a critical question: \nHow can financial institutions realise the benefits of AI while managing its risks and ensuring fair\, transparent and accountable decisions? \nThis session explores the intersection of Artificial Intelligence and Finance\, examining the challenges associated with AI-driven financial decision-making. It focuses on model risk and predictive reliability\, the implications of algorithmic bias for fairness and financial inclusion\, and the role of explainable AI in strengthening transparency and accountability. \nDrawing on developments in the Indian financial ecosystem and emerging academic research\, the session will examine what responsible AI adoption means for financial institutions and markets. \nKey Themes: \n\nAI in Financial Services: Applications and transformation across the financial sector.\nModel Risk: Predictive reliability\, interpretability and the limitations of AI-driven models.\nAlgorithmic Bias: Implications for fairness and financial inclusion.\nExplainable AI: Strengthening transparency and accountability in financial decisions.\nResponsible AI: Emerging developments and considerations for financial institutions.\n\nThe session is relevant to professionals in audit\, risk\, governance\, compliance\, banking\, financial services and technology\, as well as students interested in the responsible application of AI. \nAbout the Speaker:\n\n \nDr. K. Riyazahmed\nAssociate Professor of Finance\, SDMIMD\, Mysuru \nLinkedin profile : https://www.linkedin.com/in/dr-k-riyazahmed-b8993228/ \nDr. K. Riyazahmed brings over 16 years of academic and industry experience. His academic and research interests span finance\, financial markets\, FinTech\, financial analytics\, behavioural finance and the application of Artificial Intelligence in management education and decision-making. \nHe is the recipient of the Ivey Bestseller Award 2026 from Ivey Publishing\, Canada\, and the Springer Nature Editor of Distinction Award 2025\, recognising him among the top 20% of handling editors worldwide. \nHe has published 15 research papers in ABDC-\, Scopus- and Web of Science-indexed journals. He serves as Associate Editor of SN Business & Economics and Article Editor (ad hoc) for SAGE Open\, both Scopus-indexed publications. He also reviews for leading academic journals and conferences\, including the Academy of Management\, US. \nA prolific business case author\, he has 19 international cases published by Ivey Publishing\, SAGE and Emerald\, with his work featured or listed by Harvard Business Review. His cases have received Best Case Author nominations from EFMD and The Case Centre\, and his Ivey cases have recorded over 7\,600 worldwide classroom uses. \nHis speaking engagements include the AACSB Asia Pacific Conference (2024) on the use of Generative AI in teaching and learning\, and a TEDx talk (2025) on context\, dialogue and learning for management in the AI age. \nHis work integrates finance\, quantitative analysis\, AI and case-based pedagogy. \n
URL:https://isaca-chennai.org/events/nov2026pdm/
LOCATION:Virtual Event\, India
CATEGORIES:PDM
ORGANIZER;CN="ISACA%20Chennai%20Chapter":MAILTO:officemanager@isaca-chennai.org / hon.secretary@isaca-chennai.org
END:VEVENT
END:VCALENDAR