Analytics, artificial intelligence, machine learning and data science can be enhanced by using sensitive data. Can PETs really help unlock the potential of sensitive data and limit the challenges?
- Assessing the accuracy of analysis when using encrypted data, including synthetic data sets
- Determining how trustworthy are analytical decisions when the raw data is not visible
- Alternative technologies, new policy approaches or data encryption?
Shameek Kundu
Shameek Kundu is Chief Strategy Officer at TruEra. and one of the representatives from Singapore at the Global Partnership on AI, where he is co leading a project to demonstrate the practical use of Privacy Enhancing and adjacent technologies for well-governed data access for "AI for good" projects.
Shameek has spent most of his career in driving responsible adoption of data analytics/ AI in the financial services industry. He is a member of the Singapore Government's Advisory Council on AI and Data, the Bank of England’s AI Public-Private Forum and the Monetary Authority of Singapore’s Steering Committee on Fairness, Ethics, Accountability and Transparency in AI..
Until 2020, Shameek was Group Chief Data Officer at Standard Chartered Bank, where he helped the bank explore and adopt AI in multiple areas, shaped the bank’s internal approach to responsible AI, and had direct experience of working on data privacy, data sovereignty and data sharing issues in a commercial context
