Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
In the U.S., state lawmakers are seeking to regulate various pricing strategies that fall under the umbrella of “data-driven pricing”: practices that use personal and/or non-personal data to continuously inform decisions about the prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
Data-driven pricing: A set of practices that use personal and/or non-personal data to routinely inform decisions about the prices and products offered to consumers, often for the purpose of price personalization. State lawmakers in the U.S. are seeking to regulate various pricing strategies that fall under the umbrella of data-driven pricing, following the release in […]
Nature of Data in Pre-Trained Large Language Models
The following is a guest post to the FPF blog by Yeong Zee Kin, the Chief Executive of the Singapore Academy of Law and FPF Senior Fellow. The guest blog reflects the opinion of the author only. Guest blog posts do not necessarily reflect the views of FPF. The phenomenon of memorisation has fomented significant […]
Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
The digital landscape in Malaysia is undergoing a significant transformation. With major amendments to its Personal Data Protection Act (PDPA) taking effect in June 2025, the country is decisively updating its data protection standards to meet the demands of the global digital economy. This modernization effort is complemented by a forward-looking approach to artificial intelligence […]