Mediation vs Arbitration for AI Disputes: Which Process Fits the Problem?
June 1, 2026
Not every AI dispute should go straight to arbitration, and not every one should be pushed into mediation first. The better question is which process
AI Hallucination and Reliance Disputes: When Wrong Outputs Create Real Liability
May 30, 2026
A guide to AI hallucination and reliance disputes, including wrong outputs, causation, disclaimers, consumer harm, workplace use, vendor liability, and evidence preservation. AI hallucination disputes
AI Dispute Resolution Resources: Official Rules, Guidance, and Sources
May 30, 2026
A curated AI dispute resolution resources page covering official arbitration rules, AI guidance, California sources, privacy regulators, employment guidance, and technical standards. The best AI
AI Neutral Disclosure Checklist for AI-Related Arbitrations
May 30, 2026
An AI neutral disclosure checklist covering tool use, materiality, confidentiality, conflicts, human judgment, and when disclosure should be made in arbitration. As arbitrators and parties
AI Governance Disputes: Oversight, Accountability, and Risk Management Failures
May 30, 2026
A practical guide to AI governance disputes, including oversight failures, unclear ownership, risk assessments, escalation gaps, board management tension, and evidence preservation. Many serious AI
AI Employment Disputes: Hiring, Monitoring, Bias, and Workplace Risk
May 30, 2026
A practical guide to AI employment disputes, including hiring tools, workplace surveillance, disability accommodation, adverse impact, recordkeeping, and arbitration risk. AI employment disputes are not
AI Dispute Risk Matrix: A Practical Framework for AI Legal and Business Risk
May 30, 2026
A practical AI dispute risk matrix for assessing confidentiality, evidence, bias, vendor, governance, consumer, employment, and urgency risks before conflict escalates. Many AI disputes look
AI Consumer Disputes: When Chatbots, Automated Decisions, and AI Claims Go Wrong
May 30, 2026
A practical guide to AI consumer disputes, including deceptive AI claims, chatbot failures, privacy issues, automated decisions, refunds, evidence, and arbitration risk. AI consumer disputes
Training Data Disputes: Ownership, Permission, and Proof
May 30, 2026
A practical guide to training data disputes, including ownership claims, permission, provenance, licensing, privacy, contractual restrictions, and proof problems. Training data disputes often sound like
Ciarb AI Guideline Explained
May 30, 2026
A practical explainer on Ciarb’s Guideline on the Use of AI in Arbitration, including party use, arbitrator use, disclosure, tribunal powers, and model language. Ciarb’s