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Authenticating Content in the Age of AI with Jonathan Gillham of Originality.ai

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Manage episode 419579061 series 3512115
Contenu fourni par Alan Pentz and Corner Alliance. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alan Pentz and Corner Alliance 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 thought-provoking episode, Jonathan Gillham, the visionary entrepreneur behind Originality.ai, a cutting-edge platform that helps content creators and publishers verify the authenticity of their work, shares his insights on the importance of identifying AI-generated content. As advanced language models reshape the content landscape, Gillham discusses the societal implications, particularly in mitigating misinformation during election years.
Gillham delves into the role of AI detection in academia, where ensuring the originality of student assignments is crucial for maintaining educational integrity. He also explores the publishing industry's concerns about AI-generated content and the potential impact on search engine rankings.

Drawing from his experience, Gillham offers strategies for businesses and government agencies to future-proof their content creation processes against AI-related penalties or ranking issues. He emphasizes the need for unique information gain and novel insights to stand out in a world where AI can generate derivative content at scale.

Additionally, Gillham addresses regulatory considerations, suggesting a focus on areas where societal harm can be significant, such as AI-generated images, videos, and audio. He also discusses the potential for regulations around AI-generated reviews and user-generated content platforms.

Throughout the conversation, Gillham provides practical advice for regulators and policymakers navigating the challenges posed by AI, emphasizing the importance of hands-on experience with these technologies to make informed decisions.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Google Podcasts, instructions on how to do this are here.

Tune in here:


Connect with the host and guests here:

Tune in here:


If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest
AI, Government, and the Future is handcrafted by our friends over at: fame.so
  continue reading

53 episodes

Artwork
iconPartager
 
Manage episode 419579061 series 3512115
Contenu fourni par Alan Pentz and Corner Alliance. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alan Pentz and Corner Alliance 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 thought-provoking episode, Jonathan Gillham, the visionary entrepreneur behind Originality.ai, a cutting-edge platform that helps content creators and publishers verify the authenticity of their work, shares his insights on the importance of identifying AI-generated content. As advanced language models reshape the content landscape, Gillham discusses the societal implications, particularly in mitigating misinformation during election years.
Gillham delves into the role of AI detection in academia, where ensuring the originality of student assignments is crucial for maintaining educational integrity. He also explores the publishing industry's concerns about AI-generated content and the potential impact on search engine rankings.

Drawing from his experience, Gillham offers strategies for businesses and government agencies to future-proof their content creation processes against AI-related penalties or ranking issues. He emphasizes the need for unique information gain and novel insights to stand out in a world where AI can generate derivative content at scale.

Additionally, Gillham addresses regulatory considerations, suggesting a focus on areas where societal harm can be significant, such as AI-generated images, videos, and audio. He also discusses the potential for regulations around AI-generated reviews and user-generated content platforms.

Throughout the conversation, Gillham provides practical advice for regulators and policymakers navigating the challenges posed by AI, emphasizing the importance of hands-on experience with these technologies to make informed decisions.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Google Podcasts, instructions on how to do this are here.

Tune in here:


Connect with the host and guests here:

Tune in here:


If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest
AI, Government, and the Future is handcrafted by our friends over at: fame.so
  continue reading

53 episodes

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