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In the rapidly changing landscape of artificial intelligence (AI)Companies are increasingly integrating these tools into their daily operations to drive efficiency and innovation.
From automating recruitment processes to content generation and data analysis, AI promises significant benefits.
However, when employees use AI inappropriately – for example by entering sensitive data without safeguards, relying on biased results, or failing to supervise automated decisions – companies can face significant civil liability.
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By virtue of principles such as vicarious liabilityCompanies are often held responsible for the actions of their employees within the scope of their employment.
In this article, we explore key areas of exposure, drawing on recent legal developments (as of February) and propose avenues for mitigation.
Discrimination and bias: at the forefront of AI litigation
One of the biggest risks arises from AI-induced discrimination, whose tools perpetuate biases in hiring, promotions or evaluations.
Employees may deploy AI filtering software without auditing for fairness, leading to disparate impact claims under laws such as Title VII of the Civil Rights ActTHE Age Discrimination in Employment Act or the Americans with Disabilities Act.
For example, in the monument Mobley vs. Workday (2024-2025), a plaintiff alleged that Workday’s AI recruiting platform discriminated against applicants based on their age, race, and disability, resulting in a certified class action for applicants ages 40 and older.
Likewise, the 2025 Harper v. Sirius XM Radio The lawsuit claimed that AI tools used proxies such as ZIP codes to exclude Black applicants, highlighting disparate treatment and impact.
Recent colonies, such as EEOC vs. iTutorGroup (resolved in 2023 but influencing 2025 cases) highlights how automated rejections of older applicants can result in hefty penalties, including compensation of $365,000. Companies risk damages, back pay and injunctions if employees neglect bias audits.
Privacy Violations: Mishandling of Data in AI Applications
Inappropriate use of AI can violate privacy laws when employees transmit personal data to insecure tools.
This exposes businesses to claims under the California Consumer Privacy Law, General Data Protection Regulation or the Fair Credit Reporting Act. A revolutionary year 2026 lawsuit against Eightfold AI alleges that the company’s platform compiles applicant data from sources such as LinkedIn without consent, treating it like unregulated credit reports.
Employees who enter employee or customer information into public AI chatbots risk class action lawsuits for privacy invasion or data misuse, with penalties reaching into the millions.
Emerging regulations, such as California Civil Rights Council for 2025 rules, expand liability by defining AI providers as agents of employers, emphasizing the need for consent and security.
Intellectual property and risks of defamation
Employees generating content via AI could infringe copyright if the results come from copyrighted materials, leading to secondary liability under the law. Copyright law.
Additionally, AI-produced reports or communications containing falsehoods may give rise to defamation claims.
For example, if an employee posts misleading AI-generated posts on social media, companies could face compensatory damages.
Negligence, breaches of contract and deceptive practices
Negligence occurs when a faulty deployment of AI causes harm, such as poor financial advice or operational errors, invoking product liability for defective tools.
A breach of contract occurs if AI fails to meet the client’s standards, while deceptive practices under the FTC Law penalize false claims about AI capabilities – fines and refunds follow.
Mitigate threats
To guard against these liabilities, companies must implement robust AI policies:
As AI-related litigation increases – evidenced by cases such as Eightfold and Mobley – proactive measures are essential. By promoting responsible use, businesses can harness the potential of AI while minimizing legal pitfalls.
In the next article, we will explore strategies that businesses can employ to protect certain business assets from liability against unforeseen and unexpected creditors and predators.