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Rhodri Davies에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Rhodri Davies 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Philanthropy, Civil Society and AI

1:10:37
 
공유
 

Manage episode 366755405 series 2996310
Rhodri Davies에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Rhodri Davies 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode we take a deep dive into the opportunities and challenges that artificial intelligence might bring for philanthropy and civil society. Including:

  • Why is everyone talking about AI all of a sudden?
  • What do we actually mean by "AI"?
  • How much of the talk about "AI For Good" is substantive, and how much is hype?
  • What are some of the best examples of nonprofits/funders currently making use of AI?
  • What impact will the emergence of new AI capabilites around process automation, image recognition, natural language processing, content generation etc have on the way that nonprofits work?
  • What are the risks of "naive automation"? Why should make sure that there are still "humans in the loop"?
  • How do we guard against the risk of systems like ChatGPT providing false or inaccurate information?
  • What lessons can we learn from recent examples of nonprofits using ChatGPT and generative AI badly?
  • How will AI affect the wider financial and regulatory environment for CSOs?
  • What impact will AI, in the form of recommender algorithms, have on the ways in which we make choices about where and how to give?
  • Could we see the emergence of fully automated "philgorithms"?
  • How can nonprofits combat the risks of algorithmic bias, both in terms of how it affects them and the people/communities they serve?
  • What role can nonprofits play in addressing AI-driven misinformation & disinformation?
  • What role does civil society have to play in exploring new visions for a "post-work" future?
  • Should we take warnings of existential risks from AI seriously? If so, what does this mean for philanthropy?
  • What role should funders/CSOs play in highlighting the potential harms of AI? What barriers prevent them from doing this at present?

Related Links:

  continue reading

68 에피소드

Artwork
icon공유
 
Manage episode 366755405 series 2996310
Rhodri Davies에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Rhodri Davies 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode we take a deep dive into the opportunities and challenges that artificial intelligence might bring for philanthropy and civil society. Including:

  • Why is everyone talking about AI all of a sudden?
  • What do we actually mean by "AI"?
  • How much of the talk about "AI For Good" is substantive, and how much is hype?
  • What are some of the best examples of nonprofits/funders currently making use of AI?
  • What impact will the emergence of new AI capabilites around process automation, image recognition, natural language processing, content generation etc have on the way that nonprofits work?
  • What are the risks of "naive automation"? Why should make sure that there are still "humans in the loop"?
  • How do we guard against the risk of systems like ChatGPT providing false or inaccurate information?
  • What lessons can we learn from recent examples of nonprofits using ChatGPT and generative AI badly?
  • How will AI affect the wider financial and regulatory environment for CSOs?
  • What impact will AI, in the form of recommender algorithms, have on the ways in which we make choices about where and how to give?
  • Could we see the emergence of fully automated "philgorithms"?
  • How can nonprofits combat the risks of algorithmic bias, both in terms of how it affects them and the people/communities they serve?
  • What role can nonprofits play in addressing AI-driven misinformation & disinformation?
  • What role does civil society have to play in exploring new visions for a "post-work" future?
  • Should we take warnings of existential risks from AI seriously? If so, what does this mean for philanthropy?
  • What role should funders/CSOs play in highlighting the potential harms of AI? What barriers prevent them from doing this at present?

Related Links:

  continue reading

68 에피소드

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