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Pondering AI

Working with AI with Matthew Scherer

Aug 14, 2024
Matthew Scherer, Senior Policy Counsel for Workers' Rights and Technology at the Center for Democracy and Technology, advocates for a worker-led approach to AI adoption. He highlights the risk of bias in AI hiring processes, questioning the reliability of automated decisions. Matthew discusses the balance between safety and surveillance in workplace technologies, stressing the importance of transparency to protect workers' rights. He critiques the notion of innovation as an unqualified good, urging for meaningful regulations that reflect cultural values toward labor.
58:50

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The bottom-up approach to AI adoption empowers workers to choose beneficial technology, enhancing their roles and promoting engagement.
  • AI in hiring poses risks of bias and unfair discrimination, underscoring the need for objective evaluation metrics before implementation.

Deep dives

The Importance of Bottom-Up AI Adoption in Workplaces

AI should be adopted in workplaces through a bottom-up approach, where workers actively engage with the technology they find beneficial. This approach emphasizes that AI tools are most effective when they are aligned with the needs and preferences of employees rather than being imposed by management for efficiency. For instance, tools like Grammarly, which assist workers in their writing tasks, exemplify this strategy by enabling individuals to choose how to utilize the software. Ultimately, this empowers workers to determine the utility of AI in their roles while ensuring they have a say in its implementation.

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