Caution.

https://journals.rudn.ru/law/article/view/41937

Prompts for generative artificial intelligence in legal discourse

The development of generative models of artificial intelligence (AI) poses new challenges for legal science and practice. This requires understanding of the legal nature of prompts (queries to AI) and development of appropriate legal regulation. The article aims to determine the legal significance of prompts and outlines the prospects for their research in the context of the interaction between law and AI. The study is based on the analysis of contemporary scientific literature devoted to the problems of legal regulation of AI, as well as investigation of the first cases of the use of generative AI models in legal practice and education. Methods of legal qualification, comparative legal analysis, and legal modeling are applied. Prompts are qualified as legal actions (legal facts in the strict sense), which opens the path to addressing the applicability of copyright criteria to them. The potential and risks of using prompts in legal practice and education are identified, and the need for standardizing prompts and developing specialized methods for teaching lawyers to interact with AI is substantiated. Prompts, as a tool for human-AI interaction, represent a fundamentally important subject of legal research, upon which the prospects for AI application in law largely rely. The article concludes that interdisciplinary and international studies are necessary to unite the efforts of legal professionals, AI specialists, and the generative models themselves in developing optimal legal solutions.

Hopeful?

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5049139

AI in the Courts: How Worried Should We Be?

As artificial intelligence (AI) rapidly develops, new digital innovations will likely bring changes across all parts of society. This article comprises a dialogue between three law and technology experts about emerging uses of AI in the legal profession and the court system. The panelists discuss possible applications of AI for improving access to justice for self-represented litigants, streamlining the work of attorneys, and assisting judges in adjudicating cases. The panelists caution against risks associated with emerging uses of AI technology, such as algorithmic hallucinations and biases that can arise from the data on which AI tools are trained. Still, the panelists recognize that AI tools are here to stay. They explain ways that AI can be leveraged to help overcome certain shortcomings of the current legal system. Their dialogue ultimately articulates a vision in which AI can prove beneficial when used within the legal system, so long as steps are taken to ensure these new digital tools meet appropriate standards for privacy and security and deliver results that are sufficiently accurate, unbiased, and transparent.

Perspective.

https://dvkjournals.in/index.php/ah/article/view/4594

Ethics in AI: Worldwide Impacts and Evolving Trends

Artificial Intelligence (AI) is revolutionizing various aspects of society and the burgeoning integration of AI systems into daily life has exacerbated the ethical implications of their deployment worldwide. AI ethics encompasses a wide range of issues, including privacy, bias, accountability, transparency, and the societal consequences of automation. The creation of thorough ethical rules has lagged behind the quick growth of AI technology, creating difficulties in guaranteeing the responsible design and application of AI systems. Because AI systems frequently demand enormous datasets, which may expose sensitive personal information, privacy concerns are raised. The potential of artificial intelligence to deduce facts that people might not have voluntarily disclosed further complicates this problem. AI bias is yet another serious ethical issue as biases that already exist in the data that AI systems are trained on have the potential to be reinforced by these systems which leads to unfair treatment and discrimination, particularly against marginalized groups. Thus, accountability in AI which is essential for addressing the ethical concerns are needed in establishing legal frameworks to supervise the deployment of AI. In AI ethics, transparency is equally essential. Globally, the approach to AI ethics varies significantly across different regions. Thus, the paper examines the global impacts and evolving trends in AI ethics, exploring the balance between technological advancement and moral responsibility, as well as the role of international cooperation in addressing AI ethics. The establishment of global standards and agreements can harmonize ethical practices and ensure that AI benefits are distributed equitably. Thus, the ethical implications of AI are complex and multifaceted, requiring a coordinated effort from governments, industry and civil society. Measures for the use of AI’s advantages while reducing its risks by tackling the issues of privacy, bias, accountability, transparency and societal effect are the need of the hour.

Update.

https://pogowasright.org/michigan-senate-passes-michigan-personal-data-privacy-act/

Michigan Senate Passes Michigan Personal Data Privacy Act

EPIC reports:

The Michigan Senate voted during the final days of its session to pass SB 659, the Michigan Personal Data Privacy Act. The bill now goes to the House of Representatives for consideration.

The bill includes many strong protections for Michiganders, including a ban on the sale of sensitive data, a prohibition on targeted advertising to minors, and strong civil rights protections. Importantly, the bill also includes a data minimization provision limiting what personal data companies can collect about consumers to only what is reasonably necessary for the product or service the consumer requests.

EPIC testified in support of the bill and urges Michigan Representatives to also vote to pass this bill in the House’s remaining few days in session. Michigan’s legislative session ends December 19.