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Can AI Really Be Trusted? | with Dr. Jill Fain Lehman

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Manage episode 469802612 series 3568255
Indhold leveret af Newton Ameh. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Newton Ameh eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

We already trust AI with recommendations, automations, and even hiring decisions. But would you trust AI with your life? (Some of us have no issues turning to AI for counselling and therapeutic needs).
Can the AI we have today be trusted? Should it be? Three in five people do not think so. (- KPMG).
This is not an episode that necessarily tells you what to do or believe in.
However, with insights from Dr. Lehman, it shines a light on the nuances, limitations, and blind spots that any wise user should keep in mind when consuming information from this Overhyped Predictive Calculator we now call Gen AI.
In this episode, Newton sits down with Dr. Jill Fain Lehman, a Senior Project Scientist at Carnegie Mellon University’s Human-Computer Interaction Institute, to explore one of the most pressing questions of our time: Can AI be trusted?
With over 40 years of experience in AI, natural language processing, and machine learning, Dr. Jill shares expert insights on the reliability of AI, the challenges of human-AI interactions, and the risks that come with relying on AI-generated information. The discussion delves into whether AI can truly be trusted, to what extent, and whether it is just a matter of time before it becomes fully reliable. It also raises the question of how we can validate the information AI provides and highlights the hidden concerns, challenges, and threats in today’s AI landscape.
From the origins of AI to its role in shaping the future, this episode delivers a thought-provoking discussion on AI trustworthiness, shedding light on how we can retain human agency and oversight as AI becomes more integrated into society.
Send a message to TECH WITH NEWTON

  continue reading

27 episoder

Artwork
iconDel
 
Manage episode 469802612 series 3568255
Indhold leveret af Newton Ameh. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Newton Ameh eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

We already trust AI with recommendations, automations, and even hiring decisions. But would you trust AI with your life? (Some of us have no issues turning to AI for counselling and therapeutic needs).
Can the AI we have today be trusted? Should it be? Three in five people do not think so. (- KPMG).
This is not an episode that necessarily tells you what to do or believe in.
However, with insights from Dr. Lehman, it shines a light on the nuances, limitations, and blind spots that any wise user should keep in mind when consuming information from this Overhyped Predictive Calculator we now call Gen AI.
In this episode, Newton sits down with Dr. Jill Fain Lehman, a Senior Project Scientist at Carnegie Mellon University’s Human-Computer Interaction Institute, to explore one of the most pressing questions of our time: Can AI be trusted?
With over 40 years of experience in AI, natural language processing, and machine learning, Dr. Jill shares expert insights on the reliability of AI, the challenges of human-AI interactions, and the risks that come with relying on AI-generated information. The discussion delves into whether AI can truly be trusted, to what extent, and whether it is just a matter of time before it becomes fully reliable. It also raises the question of how we can validate the information AI provides and highlights the hidden concerns, challenges, and threats in today’s AI landscape.
From the origins of AI to its role in shaping the future, this episode delivers a thought-provoking discussion on AI trustworthiness, shedding light on how we can retain human agency and oversight as AI becomes more integrated into society.
Send a message to TECH WITH NEWTON

  continue reading

27 episoder

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