Introduction
The Technology and Consumer Advocacy Initiative (TCAI) is actively working towards the development and implementation of state legislation that aligns with California’s SB 942 and AB 2013, as well as other significant regulatory frameworks like the California Consumer Privacy Act (CCPA) and the Illinois Artificial Intelligence Video Interview Act. These legislative efforts aim to enhance transparency, consumer rights [1] [3], and ethical standards in the development and deployment of artificial intelligence (AI) technologies.
Description
TCAI is actively pursuing the development and enactment of state legislation that mirrors California’s SB 942 and AB 2013 [2], alongside other significant regulatory frameworks such as the California Consumer Privacy Act (CCPA) and the Illinois Artificial Intelligence Video Interview Act. These forthcoming laws mandate AI developers to disclose comprehensive details regarding their training data [2], including a high-level summary of datasets [3], their sources [3], ownership [3], and how they contribute to the AI system’s objectives [3]. Developers are also required to inform users when digital content has been generated or altered by AI [2], promoting transparency and consumer rights [1].
Additional stipulations include detailing the number and types of data points [3], the presence of copyrighted or trademarked material [3], the nature of data acquisition—whether purchased [3], licensed [3], or containing personal information—and any data processing or modifications [3], along with the timeframe for data collection [3]. This aligns with the Illinois Biometric Information Privacy Act (BIPA), which necessitates informed consent for the collection and storage of biometric data, often integral to AI applications [1].
The primary objectives of these proposals are to mitigate bias in high-risk AI systems [2], particularly those impacting critical areas such as employment, education [3], and healthcare [3], and to avert detrimental outcomes [2], including child sexual abuse material (CSAM) and deepfakes [2]. In New York City [1], regulations mandate that companies conduct bias audits on AI systems used in hiring [1], part of a broader initiative to ensure equitable employment outcomes and address bias concerns in AI algorithms. To ensure compliance, deployers of high-risk AI systems must conduct risk management and impact assessments, while safeguarding consumer rights [3], including notice [3], explanation [3], correction [1] [3], and appeal for decisions made by these systems [3].
There is a duty of care to prevent both intentional discrimination and disparate impact [3], with enforcement mechanisms in place to uphold these regulations. Organizations are required to identify and train algorithms responsibly [1], implementing monitoring mechanisms to prevent biases and ethical issues during the training process [1]. Documentation of training datasets and methodologies is essential for ensuring transparency [1]. New legislation also addresses the implications of generative AI and digital likeness [3], clarifying that such uses may lead to civil rights violations [3]. Despite various governance efforts [1], many organizations have not yet adopted effective measures for responsible AI use [1], underscoring the urgent need for comprehensive state laws that enforce accountability and ethical standards in AI technologies [1].
Conclusion
The legislative initiatives spearheaded by TCAI are poised to significantly impact the AI landscape by promoting transparency, reducing bias, and safeguarding consumer rights. By aligning with existing frameworks and introducing new regulations, these efforts aim to ensure ethical AI development and deployment, ultimately fostering trust and accountability in AI technologies. The ongoing push for comprehensive state laws highlights the critical need for robust governance to address the challenges and implications of AI in society.
References
[1] https://www.restack.io/p/ai-governance-answer-state-laws-cat-ai
[2] https://www.transparencycoalition.ai/news/five-ways-states-want-to-regulate-ai-in-2025
[3] https://www.jacksonlewis.com/insights/year-ahead-2025-tech-talk-ai-regulations-data-privacy
