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AI Could Widen Workplace Inequality - Experts Weigh In

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Manage episode 480806821 series 3519301
Content provided by Author Adidas Wilson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Author Adidas Wilson 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://podcastplayer.com/legal.

The sources explore the significant and rapid impact of artificial intelligence on the workplace, highlighting both its potential benefits and serious risks, particularly concerning exacerbating existing inequalities. Experts discuss the challenge for leaders in balancing profit with protecting jobs, with some advocating for reskilling and adapting rather than trying to prevent displacement, drawing parallels to past technological shifts. Concerns are raised about algorithmic bias embedded in AI systems due to being trained on human-generated data, leading to discriminatory outcomes in areas like hiring and performance evaluation. The texts emphasize the need for companies to proactively implement strategies such as designing inclusive AI systems, investing in workforce reskilling, and fostering ethical governance to ensure AI contributes to a more equitable future.

  continue reading

140 episodes

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iconShare
 
Manage episode 480806821 series 3519301
Content provided by Author Adidas Wilson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Author Adidas Wilson 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://podcastplayer.com/legal.

The sources explore the significant and rapid impact of artificial intelligence on the workplace, highlighting both its potential benefits and serious risks, particularly concerning exacerbating existing inequalities. Experts discuss the challenge for leaders in balancing profit with protecting jobs, with some advocating for reskilling and adapting rather than trying to prevent displacement, drawing parallels to past technological shifts. Concerns are raised about algorithmic bias embedded in AI systems due to being trained on human-generated data, leading to discriminatory outcomes in areas like hiring and performance evaluation. The texts emphasize the need for companies to proactively implement strategies such as designing inclusive AI systems, investing in workforce reskilling, and fostering ethical governance to ensure AI contributes to a more equitable future.

  continue reading

140 episodes

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