This human-curated, AI-generated newsletter from the AAA-ICDR Institute and AAAiLab keeps you up on AI news over the past week that is relevant to alternative dispute resolution (ADR).
AI in ADR and Legal Services
AI Can Assist Human Judges, But It Can’t Replace Them (Yet)
davidlat.substack.com
David Lat
While replacing human judges with AI raises concerns about empathy, fairness, and the potential for AI models to drift from human values, experts see promise in AI as a supportive tool for judges—helping process information, offer recommendations, and streamline administrative tasks. Limited use of AI in low-stakes cases, with human oversight and appeal options, could help courts balance efficiency gains with the need for human judgment.
The Age of Dispute Resolution Software: A Quiet Revolution in Justice
Futurism
Vivek Mohan
Digital dispute resolution platforms are transforming how conflicts are managed, making legal processes faster, more accessible, and less expensive. These tools leverage automation, AI, secure communication, and blockchain to streamline everything from case filing to mediation. While challenges like data privacy and digital literacy persist, the shift to online systems is accelerating, promising more equitable and efficient justice for courts, law firms, and individuals alike.
Evidence and AI in International Arbitration: Risks, Challenges, and Opportunities (Webinar)
Wolters Kluwer
Artificial intelligence is transforming international arbitration by streamlining evidence processing and reducing costs, but it also introduces risks such as the potential for fabricated or misleading AI-generated evidence. Experts will examine both the benefits and challenges of integrating AI into arbitration, focusing on how to leverage its efficiencies while safeguarding against procedural harms and ensuring the integrity of the evidentiary process. (Tuesday, May 20, 2025, 3:00-4:00 PM CET)
Family uses AI to create video for deadly Chandler road rage victim's own impact statement
ABC15 Arizona in Phoenix (KNXV)
Jordan Bontke, Ashley Loose
In a groundbreaking Arizona court case, artificial intelligence was used to recreate a deceased victim’s likeness and voice for a sentencing hearing, allowing the victim to deliver a personalized impact statement posthumously. The emotionally powerful AI video provided comfort to the victim’s family and sparked judicial discussions about AI’s potential and risks in legal proceedings, prompting the formation of a committee to guide responsible use.
Generative AI and LLM Developments
Mark Zuckerberg’s surreal new AI app is the future
Vox
Adam Clark Estes
Meta is aggressively integrating its AI assistant, powered by its Llama models, across its massive platforms, aiming to personalize user experiences and reshape social interaction—often blurring the line between real and AI-generated content. This strategy raises major privacy concerns, as the AI collects extensive personal data and offers little control or transparency. With billions already exposed to these tools, opting out is increasingly difficult, making Meta’s AI-driven vision nearly unavoidable.
Generative AI like ChatGPT is at risk of creating new gender gap at work
CNBC
Bob Violino
Despite the growing use of generative AI tools like ChatGPT in the workplace, women are significantly less likely than men to adopt them, even within the same roles. This persistent gender gap risks limiting productivity gains, widening workplace inequalities, and reducing the diversity of ideas that drive innovation. Business leaders are urged to address these disparities to fully realize AI’s benefits across their organizations.
IBM targets agentic AI orchestration
TechTarget
Esther Shittu
IBM has launched new tools in its Watsonx Orchestrate platform to help businesses rapidly create and manage AI agents, including prebuilt options for HR, sales, and procurement, and integration with over 80 enterprise applications. By focusing on orchestration and integration, IBM aims to address the challenge of coordinating many agents across complex IT environments, positioning itself as a key player as agentic AI adoption grows.
KPMG Launches AI Trust Services to Transform AI Governance, Enabled by ServiceNow
AP News
KPMG has launched AI Trust, a suite of services built with ServiceNow technology, to help organizations manage AI risks and ensure systems are reliable, transparent, and compliant as AI adoption accelerates. The offering provides automated tools for risk assessment, regulatory compliance, and governance, addressing growing concerns about data privacy and the need for trustworthy AI amid rapid technological and regulatory changes.
AI Regulation and Policymaking
States Shifting Focus on AI and Automated Decision-Making
The National Law Review / Squire Patton Boggs
Alan L. Friel, Julia B. Jacobson
As federal momentum for broad AI and privacy laws slows, states like Colorado, Virginia, and California are revising or reconsidering their own AI regulations, often easing compliance burdens and narrowing definitions to support innovation. Key proposals include delaying obligations, reducing risk assessment requirements, and clarifying which AI uses are regulated. This patchwork reflects a shift toward lighter-touch, innovation-friendly oversight, especially in the absence of unified federal direction.
AI Execs Are Demanding Government Support—No Questions Asked
The New Republic
Kate Aronoff
Leading AI companies are lobbying for substantial federal support to expand infrastructure, gain access to government data, and relax regulations, while also seeking protection from foreign competition. Despite bipartisan political enthusiasm, there is limited scrutiny of both the financial challenges these companies face and the broader societal downsides, such as negative impacts on critical thinking, relationships, and digital quality of life.
AI News from Other Fields
An unsettling AI Agatha Christie is here to teach you how to write.
Literary Hub
James Folta
A new BBC Maestro course uses AI to digitally resurrect Agatha Christie as an instructor, blending generative technology with human research and performance. While the project involved careful estate oversight and avoided AI-written scripts, the resulting digital likeness feels unsettling and unnecessary, raising questions about the value and motives of using AI in such contexts. The trend reflects a broader shift toward tech-driven, less human-centered experiences across industries.
EY CEO says AI won’t decrease its 400,000-person workforce — but it might help it double in size
DNYUZ
EY CEO Janet Truncale envisions AI as a tool to boost employee productivity and transform job roles, rather than reduce headcount, emphasizing the ongoing need for human skills. EY uses AI internally to refine solutions before offering them to clients, focusing on both opportunities and risks like data security. The firm’s investment in agentic AI aims to automate routine tasks, allowing staff to tackle more complex work and potentially enabling organizational growth.
AI Agents Are Hospitals' Newest 'Employees.' We Called Their References.
Newsweek
Alexis Kayser
Autonomous AI agents are transforming healthcare by independently handling tasks like patient billing, scheduling, clinical decision support, and operational logistics, reducing human workload and improving efficiency. Unlike generative AI, these agents proactively reason, communicate, and take action, though their adoption is cautious due to risks and reliability concerns. While not replacing clinicians in complex care, agentic AI is poised to streamline routine processes and reshape healthcare team dynamics.
FutureHouse Platform: Superintelligent AI Agents for Scientific Discovery
futurehouse.org
Michael Skarlinski, Tyler Nadolski, James Braza, Remo Storni, Mayk Caldas, Ludovico Mitchener, Michaela Hinks, Andrew White, Sam Rodriques
FutureHouse has introduced a platform offering advanced AI agents designed to help scientists navigate and synthesize vast scientific literature and specialized data. With agents tailored for literature review, experimental planning, and research gap analysis, the platform aims to accelerate discovery by automating complex workflows and providing transparent, high-precision results. Accessible via web and API, these tools outperform traditional methods and support scalable, customizable research processes.
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