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Apple and Stanford explore user control over personalized AI sensing systems

By PulseAugur Editorial · [1 sources] ·

Researchers from Stanford University and Apple Inc. have published work exploring how users can negotiate ontological boundaries within personalized sensing systems. Their research, presented at the International Conference on Availability, Reliability and Security (ARES), identifies four key areas where users interact with these boundaries: defining phenomena, subject-object relationships, signal versus noise, and data objectivity. The study utilized a Wizard of Oz technique to allow participants to train personalized machine learning systems based on their own definitions, offering design insights for future systems. AI

IMPACT Enhances user control and privacy in personalized AI systems, potentially influencing future human-AI interaction design.

RANK_REASON The cluster contains academic papers detailing research into user-authored personal sensing systems and agent negotiation policies. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Apple Machine Learning Research →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Apple and Stanford explore user control over personalized AI sensing systems

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The cluster contains academic papers detailing research into user-authored personal sensing systems and agent negotiation policies. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems

    Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over how systems are designed and built. Despite decades of scholarship around systems that enable such aut…

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