Custom Manufacturing Industry podcast is an entrepreneurship and motivational podcast on all platforms, hosted by Aaron Clippinger. Being CEO of multiple companies including the signage industry and the software industry, Aaron has over 20 years of consulting and business management. His software has grown internationally and with over a billion dollars annually going through the software. Using his Accounting degree, Aaron will be talking about his organizational ways to get things done. Hi ...
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コンテンツは Rhodri Davies によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Rhodri Davies またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
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Philanthropy, Civil Society and AI
Manage episode 366755405 series 2996310
コンテンツは Rhodri Davies によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Rhodri Davies またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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
67 つのエピソード
Manage episode 366755405 series 2996310
コンテンツは Rhodri Davies によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Rhodri Davies またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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
67 つのエピソード
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