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Nuala O’Connor

“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] to reflect a user’s preferences and characteristics. For example, when a person onboards to an AI companion experience, it may prompt the new user to connect the service to other accounts and answer “tell me about yourself” questions. The experience may then generate an AI companion that has the personality of a US president […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] a Utah user’s input to customize how an advertisement is presented to the user, determine whether to display an advertisement to the user, or determine a product/ service to advertise to the user;Suppliers must ensure that the chatbot divulges that it is AI and not a human in certain contexts (e.g., before the user […]

“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] lead to more intimate inferences. Systems with agentic capabilities that act on user preferences (e.g., shopping assistants) may have access to tools (e.g., querying databases, making API calls, interacting with web browsers, and accessing file systems) enabling them to obtain more real-time information about individuals. For example, some agents may take screenshots of the […]

A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] practices that use large amounts of data and algorithms to routinely inform decisions about the prices and products offered to consumers. These bills—targeting what this analysis collectively calls “data-driven pricing”—follow the Federal Trade Commission (FTC)’s 2024 announcement that it was conducting a 6(b) investigation to study how firms are engaging in so-called “surveillance pricing,” […]

2025 FPF Privacy Groups
[…] details on how to access your new account. If you have any questions or issues accessing your Portal profile, please email [email protected] . Ad Practices – Monthly call on the first Thursday of the month at 12pm ET ● 600+ privacy leaders interested in learning about new and existing ad technologies. ● Shares news, […]

Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] repeat customers who sign up for the program. In return, the company receives additional customer data. Dynamic pricing: Rapidly changing the price of a particular product or service based on real-time analysis of market conditions and consumer behavior. Consumer segmentation or profiling: A profile is created for a customer based on their personal data, […]

Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] under the umbrella of data-driven pricing, following the release in early 2025 of the Federal Trade Commission’s preliminary insights of a 6(b) study of what the Commission called “surveillance pricing.” Using a variety of terms—including “surveillance,” “algorithmic,” and “dynamic” pricing—legislators are targeting a range of data-driven pricing practices that often look different from one […]

Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
Introduction As the U.S. population ages, technologies that can help support older adults are becoming increasingly important. These tools, often called “AgeTech”, exist at the intersection of health data, consumer technology, caregiving relationships, and increasingly, artificial intelligence, and are drawing significant investment. Hundreds of well funded start-ups have launched. Many are of major interest […]

Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
[…] of the GDPR, which makes the EU Commission responsible for determining whether a jurisdiction or international organization provides an adequate level of protection and issuing a so- called “adequacy decision.” Malaysia’s new cross-border data transfer provision is more adaptable but in the absence of strong enforcement by the PDPD may potentially be open to […]