How businesses can protect sensitive information, reduce liability and manage the risks of artificial intelligence.
Artificial intelligence is changing how businesses operate. From analyzing patient information to preparing financial reports and drafting legal documents, AI offers opportunities to save time, improve efficiency and streamline everyday tasks.
However, for industries that handle sensitive information and make high-stakes decisions, the consequences of using AI incorrectly can be significant.
Healthcare providers, financial institutions and legal professionals face unique risks when incorporating AI into their operations. Without proper safeguards, a simple mistake could lead to privacy violations, professional liability claims, financial losses or reputational damage.
Understanding these exposures is an important part of developing an effective business risk management strategy.
Healthcare: When AI Errors Affect Patient Care
Healthcare organizations are increasingly exploring AI for administrative tasks, clinical documentation, patient communications and decision support.
While these tools can improve efficiency, they also introduce potential risks.
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Patient privacy: Entering protected health information into an AI platform without appropriate safeguards could expose confidential records and create HIPAA compliance concerns.
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Inaccurate information: AI-generated summaries, recommendations or documentation may contain errors that affect clinical decisions.
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Professional liability: Relying on incorrect AI-generated information without appropriate clinical oversight could contribute to patient harm and liability claims.
Healthcare organizations should carefully evaluate AI vendors, establish clear employee guidelines and maintain qualified human oversight of clinical decisions.
Finance: Protecting Client Data and Financial Decisions
Financial professionals manage sensitive client information and make recommendations that can have lasting financial consequences.
AI may assist with fraud detection, financial analysis, customer service and investment research. However, relying on inaccurate or poorly controlled AI systems can expose organizations to substantial losses.
Common risks include:
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Data security: Confidential financial records could be compromised through inappropriate use of third-party AI tools.
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Inaccurate financial analysis: Incorrect AI-generated calculations, projections or recommendations could result in financial losses.
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Regulatory compliance: AI-generated communications, decisions or recommendations may create compliance concerns if they fail to meet applicable industry requirements.
Financial organizations should verify AI-generated information, restrict access to sensitive data and establish internal approval procedures for AI-assisted decisions.
Legal Services: The Cost of Inaccurate AI-Generated Information
AI can help legal professionals conduct research, summarize documents and prepare initial drafts. However, the accuracy of AI-generated legal information cannot be assumed.
Potential exposures include:
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Fabricated legal references: AI tools may generate nonexistent cases, incorrect citations or misleading legal interpretations.
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Client confidentiality: Uploading privileged or confidential documents to an unapproved AI platform could compromise sensitive information.
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Professional negligence: Failing to verify AI-assisted legal work could create errors that lead to client disputes, court sanctions or professional liability claims.
Legal professionals should independently verify AI-generated work, protect privileged information and establish appropriate oversight before incorporating AI into client services.
Five Ways Businesses Can Reduce AI-Related Risk
Regardless of industry, organizations can take practical steps to reduce their exposure.
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Develop an AI usage policy. Define approved tools, acceptable uses and restrictions on confidential information.
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Train employees. Ensure staff understand AI limitations, privacy obligations and when human review is required.
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Protect sensitive information. Evaluate third-party vendors and implement appropriate cybersecurity and data protection controls.
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Maintain human oversight. Require qualified professionals to review AI-generated recommendations, documents and decisions.
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Review insurance coverage. Work with an insurance advisor to understand how existing policies may respond to AI-related incidents.
Is Your Business Prepared for AI-Related Risks?
AI is creating new opportunities for businesses, but it is also changing the risks they face.
Cyber liability, professional liability and errors and omissions insurance may provide protection for certain AI-related incidents, depending on policy language, exclusions and the circumstances of a claim. Businesses should not assume that every AI-related loss is automatically covered.
A proactive risk management strategy can help organizations identify potential exposures, strengthen internal safeguards and evaluate whether their insurance coverage aligns with emerging technology risks.
At Nesbit Agencies, we believe understanding risk is the first step toward protecting your business. Our team can help evaluate your business insurance needs and identify coverage considerations as technology continues to evolve.
Learn more about our risk management solutions.
