AI Transparency Framework for Utah
The Aspen Institute has introduced a groundbreaking framework aimed at enhancing transparency in the realm of artificial intelligence (AI) within the state of Utah. This initiative serves as a guiding structure for the newly established Office of Artificial Intelligence Policy (OAIP), which seeks to standardize evaluation processes in AI-related projects.
Framework Overview
The document titled “Implementing an AI Evaluation Framework in Utah” offers comprehensive recommendations tailored for OAIP’s partners. It aligns with the office’s focus areas encapsulated in the Prosperity, Integrity and Innovation, Openness, Natural Resource Stewardship, and Respect for Culture and Values (PIONR) Framework.
Establishment of OAIP
Formed in July 2023, the OAIP was created to shape Utah’s AI policy landscape. This initiative builds upon previous efforts in AI governance within the state, such as the 2018 establishment of a Center of Excellence in AI and the development of a generative AI policy in 2023.
According to Utah’s CIO, Alan Fuller, the focus of OAIP is predominantly external, aiming to address societal concerns regarding AI rather than solely focusing on state governmental processes. The office is tasked with providing guidance on AI applications that impact the community, such as tools used in mental health counseling.
Community Engagement and Input
As the OAIP works towards creating a regulatory framework for AI, it has actively sought input from technology stakeholders and the community. Initially, the office solicited feedback on specific solutions; however, it became evident that there was a pressing need for greater transparency concerning the evaluation systems within its regulatory mitigation program.
As highlighted by Ayodele Odubela, a fellow at the Aspen Policy Academy, part of the initiative’s aim is to enhance engagement between the state government and the public on AI usage. This engagement included assessing the community’s awareness of OAIP’s objectives and projects.
Recommendations for Transparency
The Aspen Policy Academy has emphasized the importance of publicizing participation criteria and maintaining a list of participants in the AI Learning Lab. This recommendation is part of the broader goal to facilitate transparency and to assist companies interested in partnering with the state.
Odubela pointed out that the framework aims to not only promote transparency for constituents but also to help companies identify overlooked areas, including potential social bias risks in AI applications.
Impact on AI Development
The recommendations put forth by the Aspen Policy Academy are intended to serve as a model for responsible AI development. Vendors are encouraged to collaborate with OAIP to better understand the expectations from the Utah government, thus promoting innovation while establishing necessary safeguards.
As federal regulations regarding AI evolve, particularly with the changing political landscape, there is a growing emphasis on state and local initiatives focused on transparency and trust-building in AI governance. This is essential as changes at the federal level may leave gaps that need to be addressed at the state level.
Broader Implications
The work undertaken by the Aspen Policy Academy is not solely confined to Utah; it aims to resonate with various cities and states across the nation. The ultimate goal is for residents affected by state AI tools to have a voice in their development, especially since opting out of government-utilized technologies is often not an option.
In conclusion, the AI Evaluation Framework represents a significant step towards responsible AI governance in Utah, providing a blueprint that other states might consider as they develop their own AI policies.
