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	<title>AI Dispute Resolution &#8211; Sherafgan Khan</title>
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	<title>AI Dispute Resolution &#8211; Sherafgan Khan</title>
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		<title>How to Choose an Arbitrator for an AI Dispute</title>
		<link>https://sherafy.com/how-to-choose-an-ai-arbitrator/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Tue, 02 Jun 2026 01:36:07 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AAA]]></category>
		<category><![CDATA[AI arbitration]]></category>
		<category><![CDATA[arbitrator selection]]></category>
		<category><![CDATA[California disclosure]]></category>
		<category><![CDATA[how to choose an AI arbitrator]]></category>
		<category><![CDATA[JAMS]]></category>
		<category><![CDATA[technical disputes]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2354</guid>

					<description><![CDATA[The right arbitrator for an AI dispute is not necessarily the person with the flashiest technology resume. The real question is who can manage the process fairly, understand the evidence, handle confidentiality, ask disciplined questions, and decide the dispute without confusing novelty for expertise. This practical guide covers technical fit, process discipline, disclosure, confidentiality, bias concerns, and when subject-matter expertise matters most.]]></description>
		
		
		
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		<title>When an AI Dispute Clause Should Use Expert Determination</title>
		<link>https://sherafy.com/when-an-ai-dispute-clause-should-use-expert-determination/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Tue, 02 Jun 2026 01:30:20 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI arbitration clause]]></category>
		<category><![CDATA[AI contracts]]></category>
		<category><![CDATA[expert determination for AI disputes]]></category>
		<category><![CDATA[model performance disputes]]></category>
		<category><![CDATA[technical disputes]]></category>
		<category><![CDATA[WIPO expert determination]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2350</guid>

					<description><![CDATA[Not every AI dispute needs full arbitration or litigation. Some disputes are narrower, more technical, and better suited to expert determination: model-performance benchmarks, valuation questions, compliance findings, milestone acceptance, or defined technical disagreements. This practical guide explains when expert determination fits better than arbitration, what issues it can decide, and how to draft for scope, confidentiality, and technical evidence.]]></description>
		
		
		
			</item>
		<item>
		<title>AI-Led Arbitration Explained: What It Is and What It Is Not</title>
		<link>https://sherafy.com/ai-led-arbitration-explained/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Tue, 02 Jun 2026 01:22:35 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AAA AI Arbitrator]]></category>
		<category><![CDATA[AI arbitration]]></category>
		<category><![CDATA[AI arbitrator]]></category>
		<category><![CDATA[AI-led arbitration]]></category>
		<category><![CDATA[dispute resolution]]></category>
		<category><![CDATA[due process]]></category>
		<category><![CDATA[human in the loop]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2345</guid>

					<description><![CDATA[AI-led arbitration is no longer just a thought experiment. As of June 1, 2026, the American Arbitration Association is offering an AI Arbitrator process with AI-led rules, human arbitrator oversight, and a defined current use case. This practical explainer covers current scope, human oversight, due process concerns, confidentiality, and what businesses should understand before confusing speed with a complete replacement for human adjudication.]]></description>
		
		
		
			</item>
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		<title>Mediation vs Arbitration for AI Disputes: Which Process Fits the Problem?</title>
		<link>https://sherafy.com/mediation-vs-arbitration-for-ai-disputes/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Tue, 02 Jun 2026 01:12:11 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[ADR]]></category>
		<category><![CDATA[AI arbitration]]></category>
		<category><![CDATA[AI mediation]]></category>
		<category><![CDATA[confidentiality]]></category>
		<category><![CDATA[dispute strategy]]></category>
		<category><![CDATA[mediation vs arbitration for AI disputes]]></category>
		<category><![CDATA[technical disputes]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2341</guid>

					<description><![CDATA[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 fits the actual problem: a technical contract fight, a privacy-sensitive business conflict, a relationship worth preserving, or a dispute that needs a binding answer. This practical comparison covers confidentiality, speed, expertise, evidence, relationships, enforceability, and when each forum makes sense.]]></description>
		
		
		
			</item>
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		<title>AI Hallucination and Reliance Disputes: When Wrong Outputs Create Real Liability</title>
		<link>https://sherafy.com/ai-hallucination-and-reliance-disputes-when-wrong-outputs-create-real-liability/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sat, 30 May 2026 23:47:21 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI hallucination disputes]]></category>
		<category><![CDATA[AI reliance]]></category>
		<category><![CDATA[AI vendor disputes]]></category>
		<category><![CDATA[FTC AI]]></category>
		<category><![CDATA[generative AI liability]]></category>
		<category><![CDATA[NIST confabulation]]></category>
		<category><![CDATA[wrong AI output]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2337</guid>

					<description><![CDATA[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 are not only about whether a model got something wrong. They are about who relied on the output, what the system was supposed to do, what warnings existed, what safeguards failed, and how real-world harm followed. This guide explains where hallucination and reliance disputes actually come from and how businesses should prepare before a bad output becomes a legal problem.]]></description>
		
		
		
			</item>
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		<title>AI Dispute Resolution Resources: Official Rules, Guidance, and Sources</title>
		<link>https://sherafy.com/ai-dispute-resolution-resources-official-rules-guidance-and-sources/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sat, 30 May 2026 23:41:55 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AAA-ICDR AI guidance]]></category>
		<category><![CDATA[AI arbitration sources]]></category>
		<category><![CDATA[AI dispute resolution resources]]></category>
		<category><![CDATA[California AI law]]></category>
		<category><![CDATA[Ciarb]]></category>
		<category><![CDATA[JAMS AI rules]]></category>
		<category><![CDATA[NIST AI RMF]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2331</guid>

					<description><![CDATA[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 dispute resolution work starts with source discipline. This resource page gathers the official rules, guidance, standards, California sources, and regulator materials most useful for understanding AI arbitration, AI evidence, confidentiality, consumer disputes, employment disputes, governance conflicts, and evolving California risk.]]></description>
		
		
		
			</item>
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		<title>AI Neutral Disclosure Checklist for AI-Related Arbitrations</title>
		<link>https://sherafy.com/ai-neutral-disclosure-checklist-for-ai-related-arbitrations/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sat, 30 May 2026 23:24:03 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AAA-ICDR]]></category>
		<category><![CDATA[AI in arbitration]]></category>
		<category><![CDATA[AI neutral disclosure checklist]]></category>
		<category><![CDATA[arbitrator disclosure]]></category>
		<category><![CDATA[Ciarb]]></category>
		<category><![CDATA[confidentiality]]></category>
		<category><![CDATA[due process]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2328</guid>

					<description><![CDATA[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 begin using AI tools more often, the real question is no longer whether disclosure might matter. It is what should be disclosed, when, and at what level of detail. This checklist gives a practical framework for handling neutral disclosure in AI-related arbitrations without turning the issue into theater or guesswork.]]></description>
		
		
		
			</item>
		<item>
		<title>AI Governance Disputes: Oversight, Accountability, and Risk Management Failures</title>
		<link>https://sherafy.com/ai-governance-disputes-oversight-accountability-and-risk-management-failures/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sat, 30 May 2026 23:17:22 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI accountability]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[AI governance disputes]]></category>
		<category><![CDATA[board oversight]]></category>
		<category><![CDATA[dispute resolution]]></category>
		<category><![CDATA[NIST AI RMF]]></category>
		<category><![CDATA[risk assessment]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2324</guid>

					<description><![CDATA[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 disputes are mislabeled as product disputes or vendor disputes when the deeper conflict is really about governance. Who approved the system, who owned the risk, what controls existed, what warnings were ignored, and who was supposed to escalate the problem? This guide explains how AI governance disputes actually form and what organizations should do before blame starts rewriting the record.]]></description>
		
		
		
			</item>
		<item>
		<title>AI Employment Disputes: Hiring, Monitoring, Bias, and Workplace Risk</title>
		<link>https://sherafy.com/ai-employment-disputes/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sat, 30 May 2026 23:13:22 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[ADA]]></category>
		<category><![CDATA[adverse impact]]></category>
		<category><![CDATA[AI employment disputes]]></category>
		<category><![CDATA[AI hiring]]></category>
		<category><![CDATA[arbitration]]></category>
		<category><![CDATA[EEOC]]></category>
		<category><![CDATA[workplace surveillance]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2321</guid>

					<description><![CDATA[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 only about futuristic hiring bots. They also arise from resume screening, video interviews, productivity scoring, workplace monitoring, accommodation failures, and automated decisions about pay, promotion, discipline, and termination. This guide explains where these disputes actually begin and what employers should do before the record turns against them.]]></description>
		
		
		
			</item>
		<item>
		<title>AI Dispute Risk Matrix: A Practical Framework for AI Legal and Business Risk</title>
		<link>https://sherafy.com/ai-dispute-risk-matrix/</link>
		
		<dc:creator><![CDATA[Sherafgan Khan]]></dc:creator>
		<pubDate>Sat, 30 May 2026 23:08:35 +0000</pubDate>
				<category><![CDATA[AI Dispute Resolution]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI dispute risk matrix]]></category>
		<category><![CDATA[AI disputes]]></category>
		<category><![CDATA[AI evidence]]></category>
		<category><![CDATA[AI governance]]></category>
		<category><![CDATA[AI risk assessment]]></category>
		<category><![CDATA[arbitration strategy]]></category>
		<category><![CDATA[NIST AI RMF]]></category>
		<guid isPermaLink="false">https://sherafy.com/?p=2318</guid>

					<description><![CDATA[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 similar on the surface and then break in completely different ways once confidentiality, evidence, consumer sensitivity, or governance failure enters the picture. This risk matrix helps businesses, counsel, and arbitrators sort AI disputes by pressure points before they choose the wrong process or preserve the wrong record.]]></description>
		
		
		
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