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Bill Fulkerson

Valuing traditional ecological knowledge and indigenous wisdom - 0 views

medium.com/...indigenous-wisdom-d26ebdd9e141

ecological culture nature wisdom

shared by Bill Fulkerson on 04 Mar 19 - No Cached
  • Bill Fulkerson on 04 Mar 19
     
    To overcome - once and for all - the false separation between nature and culture requires us to acknowledge that learning from human ingenuity and long-term adaptations to particular environments is also learning from nature. Among indigenous peoples there is a long tradition of solving human problems by learning from other species and from the wider natural processes in which we participate.
Steve Bosserman

For better AI, diversify the people building it - 0 views

www.technologyreview.com/...versify-the-people-building-it

diversity artificial intelligence

shared by Steve Bosserman on 31 Mar 18 - No Cached
  • Lyons announced the Partnership on AI’s first three working groups, which are dedicated to fair, transparent, and accountable AI; safety-critical AI; and AI, labor, and the economy. Each group will have a for-profit and nonprofit chair and aim to share its results as widely as possible. Lyons says these groups will be like a “union of concerned scientists.” “A big part of this is on us to really achieve inclusivity,” she says. Tess Posner, the executive director of AI4ALL, a nonprofit that runs summer programs teaching AI to students from underrepresented groups, showed why training a diverse group for the next generation of AI workers is essential. Currently, only 13 percent of AI companies have female CEOs, and less than 3 percent of tenure-track engineering faculty in the US are black. Yet an inclusive workforce may have more ideas and can spot problems with systems before they happen, and diversity can improve the bottom line. Posner pointed out a recent Intel report saying diversity could add $500 billion to the US economy.
  • “It’s good for business,” she says. These weren’t the first presentations at EmTech Digital by women with ideas on fixing AI. On Monday, Microsoft researcher Timnit Gebru presented examples of bias in current AI systems, and earlier on Tuesday Fast.ai cofounder Rachel Thomas talked about her company’s free deep-learning course and its effort to diversify the overall AI workforce. Even with the current problems achieving diversity, there are more women and people of color that could be brou
  • ght into the workforce.
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