Skip to main content

Governance

What are the outcomes of good governance?

Governance mechanisms are broken, mired in political debt, trust is eroding. We need systems that promote shared leadership and accountability to make better decisions based on situational awareness not positional hierarchy where corridors of power are obvious targets to become channels for corruption.

Mantra

Communities that are most collaborative are the most effective

Subjects​

  • Leadership: The leader is the one that knows what to do next.
  • Regulation: Rules should be foundations of trust, nothing more.
  • Nation States: Which countries are ready for AI+Crypto adoption?
  • Network States: Can a nation state outsource governance to multiple network states
  • Social Networks: When AI dominates online transactions humans will return to real life encounters

Context​

Governance Problems​

Blockchain could be used to build a canonical list of problems to share ideas of effective solutions with onchain decision mechanisms linked to immutable incentives that reward improved/sacrificial behaviour.

  • Short-termism
  • Laziness
  • Selfishness
  • Lack of accountability
  • Lack of transparency
  • Incompetence
  • DAO Governance Problems

Societal Impact of AI​

  1. Alignment Risk: There is significant uncertainty about the long-term impacts of automation on society and the economy, with differing views on the extent of job displacement and the nature of future work.
  2. Rapid technological advancement: AI and automation technologies are progressing quickly, with improvements in areas like robotics, machine learning, and data processing enabling machines to perform increasingly complex tasks.
  3. Economic potential: Automation has the potential to significantly boost productivity and economic growth. McKinsey estimates that AI and automation could contribute 2% annual productivity growth over the next decade.
  4. Job market disruption: While automation is expected to create new jobs, it will also lead to job losses and displacement, particularly in routine and repetitive tasks across both blue-collar and white-collar sectors. This could exacerbate income inequality.
  5. Skill transition needed: Workers will need to adapt and acquire new skills to remain relevant in an increasingly automated workplace. There will likely be a shift towards jobs requiring more complex cognitive skills, creativity, and emotional intelligence.
  6. Societal challenges: The rapid pace of automation may lead to temporary unemployment and social disruption. Policymakers and businesses will need to address issues like worker retraining, social safety nets, and potential economic inequality.
  7. Opportunities in AI development: There's growing demand for professionals skilled in AI and automation technologies. The US is currently leading in developing notable AI models.
  8. Responsible AI considerations: As AI becomes more prevalent, there's increased focus on developing responsible AI practices, addressing concerns around privacy, transparency, security, and fairness.
  9. Impact beyond employment: Automation is expected to transform various sectors including healthcare, transportation, and customer service, potentially improving efficiency but also reducing human interaction in some areas.
  10. Long-term optimism: Despite short-term challenges, some researchers believe automation could ultimately create more wealth and better jobs by eliminating unpleasant rote work and increasing overall productivity.

Coordination Incentives​

The strongest potential benefit of adopting crypto is better coordination mechanisms for the greater good.

The greatest potential opportunity for crypto adoption is better coordination mechanisms. Organisations that build the strongest culture through incentive design that rewards truth seeking, will win big.

Evolve better collective decisions by backing commitment with bets. Analyse onchain decision logic to identify leaders with vision and judgement worth making bets on.