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As other states adopt safeguards for consumers, workers and children, Alaska still lacks a comprehensive approach to AI and data centers.
Alaska is significantly behind other U.S. states in establishing legal and ethical frameworks for artificial intelligence. While states across the nation have implemented safeguards for consumers, workers, and children, mandated transparency in algorithmic decision-making, and addressed the growing threats of deepfakes and disinformation, Alaska has largely failed to adopt comprehensive policies. This inaction leaves the state vulnerable, with a lack of regulation impacting various aspects of life, including how AI interacts with children, how personal data is utilized, and concerns over privacy, surveillance, and the unchecked power of tech giants in shaping daily experiences without local oversight. The overarching problem is a broad deficiency in AI governance, exposing residents to potential harms that are being proactively mitigated elsewhere.
Many states have introduced specific legislation to protect minors and consumers from AI-related risks, such as requiring chatbots to disclose their non-human nature, monitor for suicidal ideation, and block inappropriate content for children. Alaska currently lacks any dedicated laws addressing these chatbot-specific concerns. Although a narrow legislative step was taken with House Bill 47, which criminalizes AI-generated child sexual abuse material and deepfake harassment, this measure is insufficient to provide the broad protections needed. It represents a limited response rather than the comprehensive framework seen in other states, leaving significant gaps in safeguarding vulnerable populations from emerging AI threats.
A critical area where Alaska's policy is absent is in addressing algorithmic bias. In many other states, there are increasing demands for basic fairness and transparency when AI algorithms are used to make significant decisions, such as approving loans, monitoring individuals, evaluating job applications, or determining housing eligibility. These states often require that algorithms be explainable, auditable, and that their use be disclosed to the affected individuals. However, Alaska has made no comparable efforts to regulate these powerful algorithmic systems. This means that opaque AI tools can make life-altering decisions for Alaskans without any requirement for accountability, understanding, or even notification for those impacted.
The rise of AI-generated deepfakes poses a significant threat, particularly in political discourse and personal privacy. Currently, around 30 states have enacted deepfake disclosure laws for election-related content, and many others have criminalized nonconsensual intimate imagery created using AI. Despite these national trends, Alaska remains highly vulnerable. Even with the recent, limited legal updates concerning CSAM and deepfake harassment, fabricated videos of political candidates or manipulated images of teenagers could circulate in Alaska with fewer legal repercussions than in most of the country. This lack of robust legislation leaves Alaskan elections and individuals susceptible to widespread disinformation and image-based abuse.
Alaska had a brief attempt to address AI governance more broadly through House Concurrent Resolution 3 (HCR 3), which aimed to establish a task force to study AI's implications for state government, education, and daily life, including risks related to privacy, surveillance, bias, consumer protection, and misinformation. However, this resolution failed to pass, and the crucial need it sought to address has only intensified. In response, a new initiative, 'AI, Data Infrastructure, and Society in Alaska,' has been proposed to the University of Alaska Fairbanks by concerned residents. This proposal seeks to create a graduate-level research program that would integrate computer science, public policy, philosophy, ethics, and data science to achieve the comprehensive goals originally envisioned by HCR 3, providing a much-needed academic backbone for AI policy development.
A key element of effective AI governance is recognizing the inextricable link between artificial intelligence and the data centers that power it. The failed HCR 3 resolution acknowledged this connection, proposing a joint study of both AI and data centers. This integrated approach is essential because increased AI utilization directly drives demand for more data centers, which, in turn, provide the computational capacity necessary for further AI development—creating a powerful feedback loop. Furthermore, data centers have significant physical and local impacts, including electricity consumption, water usage, and effects on land and communities. Therefore, any Alaskan policy aiming to seriously address AI must consider it as part of a larger system that includes its underlying infrastructure to fully tackle the problem.
The article concludes with a strong call to action, emphasizing that currently, influential tech giants are largely dictating AI policy without meaningful input from states like Alaska. To ensure Alaska has a voice in this rapidly evolving landscape, citizens are urged to contact their legislators. The recommendation is to push for the revival of HCR 3's task force, but with enhanced authority and support for the University of Alaska Fairbanks proposal. This academic initiative would provide the necessary research and expertise to develop a robust, informed AI policy framework. The message is clear: Alaska must act decisively to avoid being the last state to establish vital regulations and oversight for artificial intelligence and its related infrastructure.