Hallucinations are a built-in limitation of AI
Even when trained on reliable data, large language models still produce false outputs. Prof. Alan Winfield explores how this reflects deeper risks in robotics and artificial intelligence — and their impact on humanity’s future.
🎧 Listen to Part 2 now — Part 1 also live
👉 https://youtu.be/eh7GPXdNxmA
AI reflects the full spectrum of humanity
Because AI is trained on the internet, it inherits both valuable knowledge and harmful content. Prof. Alan Winfield explores how this connects to broader risks in robotics and AI — and their impact on humanity’s future.
🎧 Listen to Part 2 now — Part 1 also live
👉 https://youtu.be/eh7GPXdNxmA
Are large language models more risky than we think?
Despite their capabilities, large language models raise serious concerns. Prof. Alan Winfield explores how these risks connect to broader issues in robotics and artificial intelligence — and their impact on humanity’s future.
🎧 Listen to Part 2 now — Part 1 also live
👉 https://youtu.be/eh7GPXdNxmA
Why general-purpose robots are still out of reach
Robots can perform specific tasks, but building one that can do everything remains a major challenge. Prof. Alan Winfield explores how these limitations connect to broader risks in robotics and AI.
🎧 Listen to Part 2 now — Part 1 also live
👉 https://youtu.be/eh7GPXdNxmA
#ArtificialIntelligence #Robotics #Automation #RobotEthics #AIethics #AlanWinfield #AI
Connected systems bring real security risks
From standard vehicles to autonomous ones, connectivity creates vulnerability. Prof. Alan Winfield explores how this ties into broader risks in robotics and artificial intelligence — and their impact on humanity’s future.
🎧 Listen to Part 2 now — Part 1 also live
👉 https://youtu.be/eh7GPXdNxmA
#AI #Robotics #CyberSecurity #RobotEthics #AIethics #AlanWinfield
The Internet is Crack
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