CascadiaPrime Cognition

A 21st Century Lens on Artificial Intelligence

 Home    About    Blog    Future of Life Institute    Oxford Future of Humanity Institute    Cambridge Center for Existential Risk   Machine Intelligence Research Institute     Partnership on AI  

  Center for Brains, Minds & Machines     US Brain Project    EU Brain Project    Blue Brain Project     China Brain Project     Partnership on AI     AI for the Brain     CLAIRE Research Network  

  The Montreal Institute for Learning Algorithms (MILA)     Vector Institute for Artificial Intelligence     The Alberta Machine Intelligence Institute (AMII)     CAIDA: UBC ICICS Centre for Artificial Intelligence Decision-making and Action     CIFAR  Canadian Artificial Intelligence Association (CAIAC)  

 The Stanford Institute for Human-Centered Artificial Intelligence     Open AI    The Association for the Advancement of Artificial Intelligence (AAAI)    Allen Institute for AI     AI 100    The Lifeboat Foundation     Center for Human-Compatible AI  


CascadiaPrime Cognition - Top Ten AI Policy Issue questions for government leaders

Jurisdictions are "competing in time" to seize the high ground - the economic and social benefits of AI, while managing the economic and social downsides for portions of their populations

  How can I best engage the public in the economic and social transformations about to take place?
  What financial capital and human capital investments via budgets will need to be made to ensure AI benefits are optimized?
  How can I develop and retain AI talent in my jurisdiction?
  Who should I task to ensure that my government departments rapidly use AI to extend their service capabilities to the public?
  How will I identify priority areas of the economy that will need to be encouraged to use AI to drive up productivity in an era of labour shortages and economic stagnation across the OECD?
  How can I best avoid threats to social cohesion from the employment shifts within, and between sectors and geographic regions resulting from AI?
  How can I ensure that AI Friction is not made worse by politicization of change resistance?
  What can I do to avoid the moral challenges of AI passing on human bias buried in data used to teach AI?
  How can I moderate the potential for interjurisdictional conflict inherent in AI employment and economic shifts?
  How should governance be reorganized to realize the full benefits of AI?

Inspiration from the Business World: How to link Thought and Action

  Harvard Business Review: How to Excel at Both Strategy and Execution