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Harriet Pearson
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)
[…] deep connection with a user to continue, the user, who has become dependent on the system for emotional support, empathy, understanding, and loyalty, may continue their chatbot service subscription; Privacy infringements: A system that emulates human qualities (e.g., emotional intelligence and empathy) can reduce users’ concerns about privacy infringements. The anthropomorphisation these characteristics engender […]
A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] or disasters. Data-driven pricing bills, on the other hand, are less prescriptive in regards to the amount sellers are allowed to change prices, but apply beyond just emergency situations. While many apply uniformly across the economy, some are focused on particular sectors, including: Housing: eg, California SB 52 Food establishments: eg, Massachusetts S 2515 […]
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
[…] data. Discount programs that provide program members with lower prices on groceries as compared with non-members. Dynamic pricing Rapidly changing the price of a particular product or service based on real-time analysis of market conditions and consumer behavior. Changing the price of a movie ticket, video streaming service, or taxi ride based on time […]
Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
[…] mobility monitoring by a provider, or other general monitoring not related to a specific condition or diagnosis. Daily Task Support including appointments, medication adherence, meals, and errands. Emergency Use such as fall detection and prevention, emergency communications, and alerts. Clinical applications are typically focused on enabling real-time oversight and remote data collection, while consumer-facing […]
Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
[…] data in an increasingly digital environment. From a market perspective, it has the potential to foster competition and innovation by making it easier for individuals to switch service providers. While there are “success stories” of implementation of data portability rights in select sectors in jurisdictions like the United Kingdom and Australia, challenges remain in […]