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FPF Article 25 GDPR A4 FINAL Digital
[…] most recent Work Program (note 44). In this regard, see Irish DPC, Fundamentals for a Child-Oriented Approach to Data Pro- cessing, December 2021, available at https://www.dataprotection.ie/sites/default/files/uploads/2021-12/Fun- damentals%20for%20a%20Child-Oriented%20Approach% 20to%20Data%20Processing _FINAL_EN.pdf; and CNIL, Online Age Verification: Balancing Privacy and the Protection of Minors, September 22, 2022, available at https://www.cnil.fr/en/online-age-verification-balancing-privacy-and-protection-minors. 202 B YGRAVE, note 20. 203 See […]

FPF BCI Report Final
[…] Development, World Economic Forum (Jul. 2021), available at https://www3.weforum.org/docs/WEF_ Governing_Smart_Cities_2021.pdf. 177. Eben Harrell, Neuromarketing: What You Need to Know, Harvard Business Review (Jan. 23, 2019), https://hbr.org/2019/01/neuromarketing- what-you-need-to-know#:~:text=%E2%80%9CNeuromarketing%E2%80%9D%20loosely%20refers% 20to%20the,pricing%2C%20and%20 other%20marketing%20areas. 178. Sharad Agarwal & Tanusree Dutta, Neuromarketing and Consumer Neuroscience: Current Understanding and the Way Forward, 42(4) DECISION, 457-462 (Nov. 2015), available at https://www.researchgate.net/publication/284234343_Neuromarketing_and_consumer_ neuroscience_current_understanding_and_the_way_forward. […]

FPF AR+VR Report 4.16.21 Digital
[…] Classrooms?, ABA Journal (Jan. 1, 2019), https://www.abajournal.com/magazine/article/virtual_reality_augments_law_school_curricula. 58 Tanner Higgin, Five Research-Based Ways to Use VR for Learning, Common Sense (Apr. 3, 2018), https://www . commonsense.org/education/articles/what-the-research-says-about-vr-in-classrooms#:~:text=There’s%20 also%20a%20risk%20of,see% 20how%20they’re%20feeling. 59 Emily Gera, How VR Is Being Used to Help Children With Learning Disabilities, Autism, Variety (Dec. 11, 2018), https://variety.com/2018/digital/features/voiss-interview-vr-hmd-1203086576/. 60 Virtual R eality and Assistive […]

FPF-AISP_Nothing to Hide
[…] gov/publications/drafts/nistir-8062/nistir_8062_ draft.pdf . ›Bureau of Justice Assistance, U.S. Department of Justice, Guide to Conducting Privacy Impact Assessments: for State, Local, and Tribal Justice Entities (2012), https://it.ojp.gov/documents/d/ Guide% 20to%20Conducting%20Privacy%20 Impact%20Assessments_compliant.pdf . ›Information Commissioner’s Office (UK), Data Protection Impact Assessments (Aug. 2018), https://ico.org.uk/for-organisations/guide-to- the-general-data-protection-regulation-gdpr/ accountability-and-governance/data-protection- impact-assessments/. ›National Commission on Informatics & Liberty (Commisson nationale de I’linformatique […]

AI_and_Robotics_Masterlist_4-2018
[…] tio n. Lin k: http s:/ /s ta n dard s.ie ee.o rg /d eve lo p/in dco nn/e c/e ad _m eth odo lo gie s% 20to % 20gu id e% 20 eth ic a l% 20 re se arc h .p df Eth ic s, R ese arc h & Deve lo […]

The State of State AI 2025
[…] Beyond disclosure and safety, some bills experimented with accountability measures tied to privacy and advertising . Utah’s SB 452 (enacted), for example, prohibits mental health chatbots from promoting products during conversations unless clearly labeled as advertising. California’s AB 1064 (enrolled) initially highlighted concerns about how personal data from chatbot interactions w ith youth may […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] through user-generated input. For example, a 2015 claim against Snap, Inc. survived Section 230 dismissal following a claim that a specific “Speed Filter” Snapchat feature (since discontinued) promoted reckless driving. In other cases, the personalization of a system through demographic-based targeting that causes harm may also implicate tort and product liability law when organizations […]

“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] personality-like features, whether it is a specific voice mode, or a consistent persona, or even a range of “AI companions.” Even if companion-like personalities are not directly promoted as features, users can build them using system prompts and customized design; an early 2023 feature of OpenAI enabled users to create custom GPTs. Figure 3 […]

“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

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