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Gen AI Enters the Peak of Inflated Expectations, The Uncanny Valley and More

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Conteúdo fornecido por Michael Palmer and Palmer Media. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Michael Palmer and Palmer Media ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

In this episode of Trending in Education, Mike Palmer and his AI co-host Nancy explore whether generative AI in education has entered the peak of inflated expectations or even the trough of disillusionment on the Gartner Hype Cycle. We discuss the origins of the Hype Cycle and its relevance to current AI trends.

Then we dive into recent developments, including the LAUSD's experience with an AI chatbot and Scarlett Johansson's battle with OpenAI over the rights to her voice. These events highlight growing concerns about data privacy, cybersecurity, and intellectual property in the AI space.

We also examine the concept of the Uncanny Valley and its impact on AI adoption, emphasizing the need for human involvement to smooth over AI's shortcomings. The discussion touches on the challenges of data interoperability in education and the importance of solving real problems with seamless, user-friendly solutions.

Key takeaways:

  1. Generative AI may be entering the trough of disillusionment, with increasing focus on negative stories and backlash.
  2. Data privacy, cybersecurity, and intellectual property concerns are becoming more prominent in AI implementation.
  3. Human involvement remains crucial in AI integration, particularly in addressing the Uncanny Valley effect and ensuring effective emotional design.

Join us for this insightful exploration of AI's current state in education. Don't forget to subscribe to Trending in Education for more thought-provoking discussions on the future of learning and technology!

  continue reading

637 episódios

Artwork
iconCompartilhar
 
Manage episode 430234539 series 2792761
Conteúdo fornecido por Michael Palmer and Palmer Media. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Michael Palmer and Palmer Media ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

In this episode of Trending in Education, Mike Palmer and his AI co-host Nancy explore whether generative AI in education has entered the peak of inflated expectations or even the trough of disillusionment on the Gartner Hype Cycle. We discuss the origins of the Hype Cycle and its relevance to current AI trends.

Then we dive into recent developments, including the LAUSD's experience with an AI chatbot and Scarlett Johansson's battle with OpenAI over the rights to her voice. These events highlight growing concerns about data privacy, cybersecurity, and intellectual property in the AI space.

We also examine the concept of the Uncanny Valley and its impact on AI adoption, emphasizing the need for human involvement to smooth over AI's shortcomings. The discussion touches on the challenges of data interoperability in education and the importance of solving real problems with seamless, user-friendly solutions.

Key takeaways:

  1. Generative AI may be entering the trough of disillusionment, with increasing focus on negative stories and backlash.
  2. Data privacy, cybersecurity, and intellectual property concerns are becoming more prominent in AI implementation.
  3. Human involvement remains crucial in AI integration, particularly in addressing the Uncanny Valley effect and ensuring effective emotional design.

Join us for this insightful exploration of AI's current state in education. Don't forget to subscribe to Trending in Education for more thought-provoking discussions on the future of learning and technology!

  continue reading

637 episódios

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