36 min
Why are we afraid of AI? The Transform Talent Podcast
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- Management
We are joined by, Dr Tomas Chamorro-Premuzic currently the Chief Talent Scientist at Manpower Group, co-founder of Deeper Signals and Metaprofiling, and Professor of Business Psychology at University College London and Columbia University. He's written over 150 scientific papers and 10 books on the psychology of talent, leadership, innovation, and ai, including his new book, iHuman AI Automation, and the Quest to reclaim what makes us unique. The globe is bringing so many questions to the table about how society's going to function moving forward, and how AI will play a huge part in that for better or for worse. The main question seems to be should we be afraid of AI or does AI come in peace?
AI is a prediction machine that identifies hidden patterns in large datasets and continuously improves itself. AI is commonly experienced through recommendation algorithms in everyday life, such as music streaming services and social media platforms. We explore why some people, including older workers, may fear AI and that concerns are often fuelled by sensationalist media stories and depictions of AI in popular culture. However, Dr Tomas emphasises that humans are still in control and most AI applications aim to simplify tasks and free up time for more creative pursuits. Tomas shares advice on how to stay informed about AI developments and how AI platforms like GPT can provide valuable insights.
In our conversation we delve into the potential of AI in talent acquisition and HR. Tomas highlights the opportunity to leverage AI for increased fairness and meritocracy in organisations. AI can help identify and close the gap between individual performance and career success. However, Tomas acknowledges that biases can still exist in AI systems and emphasises the importance of striving for improvement rather than perfection. Regarding future skills, Tomas suggests focusing on human traits that AI is less likely to master, such as empathy, kindness, self-awareness, critical thinking, and deep curiosity. These skills will be in demand as humans continue to interact with AI in the workplace. He also encourages organisations to think differently about diversity, including neurodiverse talent, to maximize the benefits of AI.
Hosted on Acast. See acast.com/privacy for more information.
We are joined by, Dr Tomas Chamorro-Premuzic currently the Chief Talent Scientist at Manpower Group, co-founder of Deeper Signals and Metaprofiling, and Professor of Business Psychology at University College London and Columbia University. He's written over 150 scientific papers and 10 books on the psychology of talent, leadership, innovation, and ai, including his new book, iHuman AI Automation, and the Quest to reclaim what makes us unique. The globe is bringing so many questions to the table about how society's going to function moving forward, and how AI will play a huge part in that for better or for worse. The main question seems to be should we be afraid of AI or does AI come in peace?
AI is a prediction machine that identifies hidden patterns in large datasets and continuously improves itself. AI is commonly experienced through recommendation algorithms in everyday life, such as music streaming services and social media platforms. We explore why some people, including older workers, may fear AI and that concerns are often fuelled by sensationalist media stories and depictions of AI in popular culture. However, Dr Tomas emphasises that humans are still in control and most AI applications aim to simplify tasks and free up time for more creative pursuits. Tomas shares advice on how to stay informed about AI developments and how AI platforms like GPT can provide valuable insights.
In our conversation we delve into the potential of AI in talent acquisition and HR. Tomas highlights the opportunity to leverage AI for increased fairness and meritocracy in organisations. AI can help identify and close the gap between individual performance and career success. However, Tomas acknowledges that biases can still exist in AI systems and emphasises the importance of striving for improvement rather than perfection. Regarding future skills, Tomas suggests focusing on human traits that AI is less likely to master, such as empathy, kindness, self-awareness, critical thinking, and deep curiosity. These skills will be in demand as humans continue to interact with AI in the workplace. He also encourages organisations to think differently about diversity, including neurodiverse talent, to maximize the benefits of AI.
Hosted on Acast. See acast.com/privacy for more information.
36 min