The Greatness Machine is on a Quest to Maximize the Human Experience! Join Award Winning CEO and Author, Darius Mirshahzadeh (pron. Mer-shaw-za-day), as he interviews some of the greatest minds in the world―turning their wisdom and experience into learnings and advice you can use in your life so that you can level up and create greatness. Join Darius as he goes deep with guests like: Moby, Seth Godin, Gabby Reece, Amanda Knox, UFC Ring Announcer Bruce Buffer, Former FBI Negotiator Chris Voss ...
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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
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:
- WPM guide to philanthropy and AI
- Rhod's piece for NPC's 20th anniversary essay collection, "Would AI be good or bad for philanthropy? Will AI replace grant-makers?"
- NPC's recent event "AI in the charity sector: getting past the hype", where Rhod was a panellist alongside Tania Duarte of We And AI and Tris Lumley of NPC
- Rhod's Alliance article "Artificial intelligence is coming for philanthropy"
- Philanthropisms podcast 2023 Predictions episode
- Philanthropisms podcast episode on the Platformisation of Philanthropy
68 에피소드
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:
- WPM guide to philanthropy and AI
- Rhod's piece for NPC's 20th anniversary essay collection, "Would AI be good or bad for philanthropy? Will AI replace grant-makers?"
- NPC's recent event "AI in the charity sector: getting past the hype", where Rhod was a panellist alongside Tania Duarte of We And AI and Tris Lumley of NPC
- Rhod's Alliance article "Artificial intelligence is coming for philanthropy"
- Philanthropisms podcast 2023 Predictions episode
- Philanthropisms podcast episode on the Platformisation of Philanthropy
68 에피소드
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