Day 1

Starting Themes: authority, feeling, assumptions, how people and machines differ (i.e. think); scale of implications/participation; building sustainable future for children/next generation; the implications (job loss, and thus ethics) of AI and future of development of technology); AI and tech for political purpose (command and control); innovation to the sake of innovation (again, missing implications); randomness in a systemized world; IQ and EQ (what is "authentic intelligence" - how do these modalities interact; where is the agency in a systematized future; social media as a catalyst (for good or ill);

  • Artificial Intelligence:
  • Artificial: man-made vs. sham or false
  • Misunderstanding: Information about AI;
  • Sentience
  • Opposite: Artificial <> Natural
  • Pseudo-intelligence (Robert Smith offers as more effective title)
  • Challenges to Nick Bostrum's Superintelligence "myth"
  • How important is the how vs. the end? Purpose and the value derived through action/activity?
  • Is efficiency the most important metric?
  • What is our personal responsibility?
  • Is curiousity dangerous?
  • Social understanding of the AI / tech space? vs. the social consequence of AI/tech?
  • Re-imagining authority in the digital space: i.e. participation in the digital space?
  • Artificial intelligence ("Sophia")
  • Organizational incentives:
  • Technology is a by-product of us? How do we embrace/cultivate a humanity that unleashes the technology we want?
  • What incentives are there? Do we need to do it differently to incentivize better design?
  • If system is geared towards efficiency and calibrate for humanity, how do you design a system to support vulnerability when it is geared towards economic sustainability/survivability?
  • The power of human intelligence: is it cognitive? Is it emotional?