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[…] Values and Interests and Consulting with Experts: Achieving alignment entails that the AI system reflects human interests and values, but such efforts can be complicated by the number and range of these values that a system may implicate. In order to obtain a holistic understanding of the values and interests an AI companion or […]

[…] 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 […]

[…] 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 […]

[…] housing market, or in groceries and restaurants? These elements generally correspond to the different terms used in legislation to refer to data-driven pricing practices. For example, a number of bills use terms such as “algorithmic pricing,” including New York S 3008, an enacted law requiring a disclosure when “personalized algorithmic pricing” is used to […]

[…] most sensitive of personal data to the newly-conceived legal category of “neural data.” Each of these laws defines “neural data” in related but distinct ways, raising a number of important questions: just how broad should this new data type be? How can lawmakers draw clear boundaries for a data type that, in theory, could […]

[…] oversight purposes. The supervising body typically has some discretion as to how to implement its sandbox, such as the focus (technology or sector-specific), the vetting process, the number of accepted applicants, and evaluation metrics for success. Application and selection: As part of the vetting process, participating organizations must explain to the regulatory body why […]

[…] privacy . Financial firms are required and incentivized to engage in a range of anti-fraud programs. Firms often seek to determine whether a particular International Bank Account Number (IBAN) involved in a cross-border transaction is at high risk for fraud. Traditionally , this process involves cooperation between financial institutions that can raise compliance questions […]

[…] The homepage displays the latest activity from not only your current working group communities, but all FPF communities you are able to join. In the center activity feed, you will see recent community discussions, announcements, library resources, and event details. Use the filter feature in the right corner of the activity feed to switch […]

[…] 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, […]