The End Of Knowledge - Vault 4/43 - AI For Good - 2020

graph LR classDef main fill:#f9f9f9, font-weight:bold, font-size:14px classDef wearable fill:#ffcc99, font-weight:bold, font-size:14px classDef ethics fill:#ccff99, font-weight:bold, font-size:14px classDef perception fill:#99ccff, font-weight:bold, font-size:14px classDef societal fill:#ff99cc, font-weight:bold, font-size:14px classDef humanCentric fill:#ccccff, font-weight:bold, font-size:14px A[Becoming Human 2.0] A --> B[Wearable AI
and Human Augmentation] B --> B1[Pat Pataranutaporn:
researcher at MIT Media Lab. 1] B --> B2[Fluid interfaces:
integrating tech with humans. 2] B --> B3[AIs rapid growth,
wearable AI. 3] B --> B4[Example projects: AI in wearables,
better reasoning. 4] B --> B5[Wearable AI becoming plausible. 5] B --> B6[Primitive wearable
augmentation: clothing. 6] A --> C[Ethics and
Perception] C --> C1[Creators first users,
user studies insight. 7] C --> C2[Ethical considerations critical,
multiple perspectives. 8] C --> C3[Media extrapolates wearable
AI futures. 9] C --> C4[Goal: enhance human capabilities,
user choice. 10] A --> D[Self-Perception
and Collaboration] D --> D1[Clothing influences perception,
not independent. 11] D --> D2[Wearable AI influences
identity, self-perception. 12] D --> D3[Transdisciplinary teams
for wearable AI. 13] D --> D4[Media Labs
antidisciplinary approach. 14] A --> E[Societal Impact
and Trust] E --> E1[Wearable AI supports
UN SDGs. 15] E --> E2[Governance must evolve
with AI. 16] E --> E3[Context-dependent use,
participatory design needed. 17] E --> E4[Closing tech gaps needs
short-term, long-term. 18] E --> E5[Trustworthy AI presentation
and algorithms. 19] A --> F[Human-Centric AI
and Future Goals] F --> F1[AI mimicking communication
increases trust. 20] F --> F2[Wearable AI provides
physical comfort. 21] F --> F3[Human-technology symbiosis
enhances humanity. 22] F --> F4[Free mind for creativity,
better living. 23] F --> F5[Enhancing expression accelerates
SDGs solutions. 24] F --> F6[AI for Good Global Summit
fosters AI for SDGs. 25] class A main class B,B1,B2,B3,B4,B5,B6 wearable class C,C1,C2,C3,C4 ethics class D,D1,D2,D3,D4 perception class E,E1,E2,E3,E4,E5 societal class F,F1,F2,F3,F4,F5,F6 humanCentric

Resume:

1.- Pat Pataranutaporn is a researcher at the MIT Media Lab Fluid Interfaces Group studying the intersection of biology and digital computation.

2.- Fluid interfaces aim to seamlessly integrate technology with the human body and cognition to empower rather than overshadow the user.

3.- AI is explosively growing and connected to many disciplines. Wearable AI allows AI to live symbiotically with the human body.

4.- Example projects include AI as a mentor in wearables, AI representing different versions of oneself, and AI to reason better.

5.- The idea of wearable AI/cyborgs has long existed in the imagination, but is now becoming more plausible with advancing technology.

6.- The most primitive wearable augmentation is clothing. New technologies add computational capabilities to this basic human augmentation.

7.- Creators are often the first users of their technologies. User studies provide insights on how others perceive and use them.

8.- Ethical considerations are critical, examining personal, community, global scales for unintended consequences. Ongoing conversations and multiple perspectives are essential.

9.- Media portrayals extrapolate wearable AI into utopian and dystopian futures, highlighting potential consequences the creators may not have anticipated.

10.- The goal is technology that supplements and enhances human capabilities, not replaces them. User choice in engaging the technology is key.

11.- Clothing shapes human consciousness by influencing how we think and perceive each other, even if not independently "thinking."

12.- Wearable AI could influence both how others perceive us and how we perceive ourselves. It becomes part of our identity.

13.- Transdisciplinary, not just multidisciplinary, teams are needed to develop wearable AI, including social psychology alongside engineering.

14.- The Media Lab takes an "antidisciplinary" approach, fluidly moving between disciplines and epistemologies to holistically address complex human-technology interactions.

15.- Wearable AI could help achieve the UN SDGs by countering misinformation, encouraging reasoned thinking, and leading to healthier societies.

16.- Governance of AI must evolve alongside the rapid pace of technological development through ongoing two-way dialogues between policymakers and technologists.

17.- The context-dependent use of technology varies significantly between communities and cultures. Participatory design is critical to meet real local needs.

18.- Closing technology gaps requires both short-term solutions and long-term conversations. Dataset bias is a major AI challenge to overcome.

19.- Making AI appear trustworthy in its presentation and actually making the underlying algorithms and data trustworthy are both important.

20.- Interacting with technology that mimics our own communication styles, like accents and vocabulary, may increase human trust in AI.

21.- AI could enable wearables to responsively provide physical comfort, like warmth for a wound or a hug when sensing sorrow.

22.- Pioneer Manfred Clynes said human-technology symbiosis allows us "to think, to feel and to be free" - to be more human.

23.- The goal of human augmentation is to free the mind for greater creativity by automating mundane tasks and enabling better living.

24.- Enhancing human expression through wearable AI ultimately enhances our shared humanity. This is key to accelerating solutions for the SDGs.

25.- The AI for Good Global Summit, led by the ITU and 37+ UN agencies, aims to foster human-centered AI for the SDGs.

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