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Shadows of the emerging worlds: Designing for XR Trust [AWE2021]

Shadows of the emerging worlds: Designing for XR Trust [AWE2021]

Today we see advancement in practical applications of emerging technologies in our homes and at work. As these solutions grow towards ubiquity, so do the possible harms and obstacles towards the world in which we all want to live.

In this talk Noble Ackerson, talks about trust and ethics in XR specifically:
Dark patterns in XR - impact, example, opportunity;
AI fairness & bias - impact, example, opportunity;
Data privacy/trust and security - impact, example, opportunity.
He presents practical examples on principles to avoid wading in dark patterns within the shadows of the emerging world and how you optimize for trust through explainability, context, control, choice.

Noble Ackerson

November 23, 2021
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Transcript

  1. SHADOWS OF THE EMERGING WORLD TRUST & ETHICS IN XR

    XR Safety & Security Track curated by XRSI
  2. Hi,I’m Noble! Find me at the intersection of product leadership,

    data governance, and emergent technology.
  3. The mixture of the real world and virtual worlds so

    that one understands the other. XR
  4. XR a practice of systemizing, defending, and recommending right or

    wrong practices in extended reality, in effort to reduce experiential harm. XR Ethics
  5. Building for people requires collaboration SDKs & Documentation Localization Internationalization,

    Safety, Security, Diversity, Privacy DEVICE MANUFACTURERS Context, Choice, Controls Ethics, Localization Internationalization, Safety, Security, Diversity, Privacy CONTENT DEVELOPERS Proactive Governance Data stewardship, Governance, Procedural Fairness, Distributive Justice REGULATORY BODIES Informed consumer/creator Feedback, consent, drive XR economy END USERS
  6. “if your algorithm results in credit discrimination against a protected

    class, you could find yourself facing a complaint alleging violations of the FTC Act and ECOA.” Safety
  7. Success for XR experiences means understanding your demographics, and implementing

    solutions that are objectively inclusive for all users. Diversity
  8. Emergent classes of data to protect privacy Proprioception, Hearing, Sight,

    Touch, Preferences, and Interests Biometrically Inferred Data Place of birth Mother's maiden name Scanned people places or things, Race Sensitive Information Demographic info, Medical histories Lab results Insurance information Protected Health Info Names Email addresses Location data, In-world activity, Banking info Personally Identifiable Info
  9. Emergent classes of data to protect privacy Proprioception, Hearing, Sight,

    Touch, Preferences, and Interests Biometrically Inferred Data Place of birth Mother's maiden name Scanned people places or things, Race Sensitive Information Demographic info, Medical histories Lab results Insurance information Protected Health Info Names Email addresses Location data, In-world activity, Banking info Personally Identifiable Info
  10. “We shape our tools and thereafter our tools shape us”

    ~Father John Culkin (1964), SJ, Professor of Communication, Fordham University
  11. 03. 02. 01. ACKNOWLEDGEMENTS Assets and Resources XRSI Privacy Framework

    Icons by Flaticon Adapted template from SlidesGo Standards and regulations 2002 EU ePrivacy Directive General Data Protection Regulation NIST Privacy Framework Individuals who inspire Dr. Ann Cavoukian Mike Alger - Google/Youtube Kent Bye - Voices Of VR Podcast Kavya Perlman, Marco Magnano, Alina Kadlubsky, and team!
  12. THANKS! @nobleackerson @nobleackerson @stigsfoot /c/nobleackerson 3 C's for Privacy and

    Trust by Noble Ackerson is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.