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Content provided by Squadify, Dan Hammond, and Pia Lee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Squadify, Dan Hammond, and Pia Lee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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What will happen when AI joins your team?

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Manage episode 369328706 series 2969730
Content provided by Squadify, Dan Hammond, and Pia Lee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Squadify, Dan Hammond, and Pia Lee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

AI has the potential to revolutionise collaboration and teamwork, but it has limitations and potential biases we need to watch out for.

Benjamin Dehant is a specialist with experience using AI in collaboration and teamwork settings. He believes that in the future, every team member will have their own AI assistant that will help us work faster and more efficiently. But with those tools come limitations, and he raises the question of whether we want AI to do everything for us – and make decisions in our best interests – or if we want to maintain the value of doing things ourselves.

Takeaways from Dan and Pia

  • Governments may not be adequately prepared for the impact of AI. We need proactive governance and preparedness.
  • We need to make a conscious choice when implementing AI, taking into consideration the potential benefits and risks, and regulating it in a way that benefits society as a whole.
  • A general AI that knows everything about an organisation can provide valuable insights and data, joining dots together quicker than humans can. This could fuel more efficient and effective collaboration within teams.
  • We must remain in charge of desired outcomes and not delegate responsibility to AI, especially given the potential for inaccuracies in AI-generated data.
  • AI is a useful tool for enhancing human decision-making, but we need to remain vigilant and responsible in the process.

Links

  continue reading

104 episodes

Artwork
iconShare
 
Manage episode 369328706 series 2969730
Content provided by Squadify, Dan Hammond, and Pia Lee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Squadify, Dan Hammond, and Pia Lee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

AI has the potential to revolutionise collaboration and teamwork, but it has limitations and potential biases we need to watch out for.

Benjamin Dehant is a specialist with experience using AI in collaboration and teamwork settings. He believes that in the future, every team member will have their own AI assistant that will help us work faster and more efficiently. But with those tools come limitations, and he raises the question of whether we want AI to do everything for us – and make decisions in our best interests – or if we want to maintain the value of doing things ourselves.

Takeaways from Dan and Pia

  • Governments may not be adequately prepared for the impact of AI. We need proactive governance and preparedness.
  • We need to make a conscious choice when implementing AI, taking into consideration the potential benefits and risks, and regulating it in a way that benefits society as a whole.
  • A general AI that knows everything about an organisation can provide valuable insights and data, joining dots together quicker than humans can. This could fuel more efficient and effective collaboration within teams.
  • We must remain in charge of desired outcomes and not delegate responsibility to AI, especially given the potential for inaccuracies in AI-generated data.
  • AI is a useful tool for enhancing human decision-making, but we need to remain vigilant and responsible in the process.

Links

  continue reading

104 episodes

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