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What’s going on:     Â
The White House has taken new measures to study the risks associated with artificial intelligence (AI) and determine its impact on the workforce, according to Reuters. It scheduled a listening session with workers, gig work experts, researchers, and policymakers to understand their experiences with employers’ use of AI for surveillance, monitoring, and evaluation. Â
The Biden administration’s plan is to better understand the potential challenges and opportunities posed by AI technologies and develop strategies to address their impact on the workforce. Earlier this month, the administration announced a $140 million investment into AI research institutes.Â
Why it matters:Â Â Â Â Â Â Â Â Â
Millions of users have reportedly already tried AI software tools like ChatGPT and have used it for complex tasks like writing a legal brief or creating computer software. The rise of AI in the U.S. has caused the federal government to launch initiatives to understand the implications and challenges on the workforce.Â
AI has the potential to transform various industries, automate tasks, and reshape job markets. The Biden Administration will use information gathered from the listening sessions to help shape federal investments in AI research and guide policies to ensure a fair and transparent labor market.
How it’ll impact the future:Â Â Â Â Â Â
The White House’s efforts to study AI risks and its impact on workers will provide valuable insights into the potential disruptions and changes AI technologies can bring to the job market, allowing for proactive measures to be taken. Â
By proactively studying these risks, the White House aims to gain insight and that will help in further developing policies and interventions to mitigate any negative effects on workers.Â
The findings and recommendations from this session, and other White House initiatives, will play a role in shaping future federal policies, regulations, and training initiatives to support workers in adapting to technological advancements. Additionally, it may inform the development of strategies for fostering AI innovation while maintaining a balance between technological progress and the well-being of workers.
