The pervasive influence of artificial intelligence extends far beyond the realms of homework assistance and quirky image creation, delving into unnoticed and unregulated territories that impact countless Americans unfamiliar with terms like ChatGPT or Bard.
Generative AI has surreptitiously infiltrated businesses, schools, and medical practices, leaving an indelible mark with no easy retreat. Its applications range from screening job candidates and tutoring children to facilitating home purchases and dispensing medical advice.
As the Biden administration endeavors to corral federal agencies to scrutinize and regulate this technology, lawmakers at various levels remain sluggish in devising safeguards for privacy and mitigating the ingrained biases present in the data on which AIs are trained.
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Lisa Rice, president and CEO of the National Fair Housing Alliance, voices concerns about the dual nature of AI – a tool with potential benefits but also a harbinger of harm, perpetuating historical inequalities and discrimination.
Despite assertions by federal regulators that existing anti-discrimination laws can police certain facets of AI, Congress grapples with formulating new frameworks for licensing, liability, transparency, and child safety in AI models.
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The average person, according to Apostol Vassilev of the National Institute of Standards and Technology, remains in the dark about the boundaries and potential pitfalls of AI technology, prompting a sense of skepticism and apprehension.
AI’s impact is already evident in hiring practices, where powerful language processing tools analyze candidates’ responses in video interviews, potentially rendering human interviewers obsolete.
The Equal Employment Opportunity Commission (EEOC) monitors these developments, emphasizing that anti-discrimination laws apply even when AIs assist in decision-making.
Some jurisdictions, like New York, have implemented mandates for transparency and audits to address bias in automated hiring decisions.
Labor leaders express concern about AI becoming a tool for invasive worker surveillance and the potential for algorithms to override on-the-ground judgments. They advocate for government regulation akin to the FDA for food and drugs to ensure responsible AI use.
In education, AI assists K-12 students and teachers in various tasks, from tutoring to enhancing creativity. Privacy and equity dilemmas arise, prompting schools to seek guidance from state governments and education groups.
The housing industry undergoes a transformation with AI, exemplified by Zillow’s “Zestimate” tool. While AI aids home buyers with information, civil rights groups caution about the biases embedded in algorithms perpetuating historical discrimination, as seen in redlining practices.
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In healthcare, AI aids in predicting and treating diseases like prostate cancer, streamlining surgical planning. Regulatory bodies like the FDA and HHS work on guidelines and rules to ensure AI in medical devices and billing processes is safe, transparent, and fair.
However, skepticism persists. AI in billing processes raises concerns about reduced transparency and accountability, exemplified by lawsuits against UnitedHealthcare and Cigna alleging systematic denial of care through proprietary algorithms.
Efforts to address bias in AI may risk compromising the robustness of these systems, presenting a delicate balance that requires thoughtful government intervention.
