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Philanthropy, Civil Society and AI

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Manage episode 366755405 series 2996310
Contenu fourni par Rhodri Davies. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Rhodri Davies ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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

67 episodes

Artwork
iconPartager
 
Manage episode 366755405 series 2996310
Contenu fourni par Rhodri Davies. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Rhodri Davies ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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

67 episodes

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