With Trump expected to repeal Biden’s 2023 AI Executive Order, we’re on the cusp of a shift in how AI will be regulated. Biden’s order introduced voluntary standards aimed at reducing risks in AI, including bias, data security, and intellectual property protections, which are key considerations for any recruiter using AI to support fair and accurate decision-making. Trump’s administration, however, labels these protections as obstacles to innovation, pledging a more unrestrained approach that could change the landscape of AI-powered recruiting tools.
This approach could bring both benefits and risks for recruiters. With fewer restrictions, innovation may speed up, driving advancements in AI’s capabilities for sourcing and assessing talent. On the other hand, this could mean fewer safety nets around bias mitigation, potentially affecting how candidate data is processed and ranked. As in all things, rushing can lead to bad results! Recruiters may find they need to keep a closer eye on their AI tools’ performance to ensure candidate scoring and screening remain equitable.
An Innovation-First Approach to AI Development
The Trump administration is likely to prioritize rapid AI development to keep the U.S. ahead of competitors like China. With a “speed first” attitude, there could be a stronger emphasis on fast-tracking new AI features which are central to recruiting, such as predictive analytics, natural language processing, and advanced candidate assessment tools. This could mean a wave of powerful, next-gen tools arriving at recruiters’ desks sooner than expected, and these tools could save time, improve accuracy, and create a more efficient hiring process.
Yet with a focus on speed, we might see a reduction in transparency standards for AI. For recruiters, this could make it harder to understand why an AI tool recommends certain candidates over others. The “black box” nature of many AI solutions may deepen, limiting your ability to explain or justify AI-driven hiring decisions to clients or candidates.
Just as problematic would be the decisions these tools make which we never see. Great candidates hidden because the focus on speed necessitated using biased “same think” data to quickly get a product out the door. Meaning the new standard was the old average.
The Uncertain Future of the U.S. AI Safety Institute
Biden’s administration established the U.S. AI Safety Institute (AISI) to help manage potential risks in high-stakes app