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Tech Industry Aims to Mitigate AI Bias, While Trump Seeks to Halt ‘Woke AI’ Initiatives

Tech Companies Face New Political Challenges in AI Fairness Goals

CAMBRIDGE, Mass. — In a shift away from previous workplace diversity initiatives, tech giants are now confronted with a second scrutiny over diversity, equity, and inclusion (DEI) practices in artificial intelligence (AI) development. September’s subpoenas from the House Judiciary Committee to companies like Amazon, Google, and OpenAI have launched inquiries into past efforts aimed at mitigating algorithmic bias.

The U.S. Commerce Department’s recent omission of "AI fairness" from its collaboration appeal has raised eyebrows among experts, who worry that this could indicate a troubling shift in priorities. Harvard sociologist Ellis Monk, who developed the Monk Skin Tone Scale to improve AI image technology’s representation of diverse skin tones, expressed concern over future funding and initiatives aimed at enhancing inclusivity.

A politically charged discourse has emerged, with the Republican-led Congress critiquing what they term “woke AI.” High-profile figures like Rep. Jim Jordan allege that the Biden administration may have colluded with tech companies to censor speech. In contrast, former advisers argue that the focus on “ideological bias” acknowledges longstanding issues of algorithmic discrimination that persist in various sectors, including health and housing.

Instances of bias in AI are extensive, from self-driving cars misidentifying darker-skinned pedestrians to facial recognition technologies wrongfully implicating Black individuals. With the rise of AI applications post-Biden’s election—including OpenAI’s ChatGPT—calls for equitable AI have intensified.

This new political climate has invoked concerns that funding for equitable AI projects could diminish, potentially reversing many years of progress made to ensure technology benefits everyone. As debates rage on, the challenge remains for tech companies to navigate these evolving expectations while striving to create inclusive AI systems.

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