Artificial Intelligence (AI) Governance
Insightful Business Solutions
Henson Efron’s business law attorneys in its Minneapolis law firm are experienced professionals with a reputation for providing sound and practical advice to our business clients. Our clients include multinational enterprises, publicly traded, privately held and middle market companies, as well as family-held and smaller businesses.
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Artificial Intelligence (AI) Governance
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Artificial Intelligence (AI) Governance
Artificial intelligence (AI) is reshaping how organizations operate, make decisions, and engage with customers and others. With that opportunity comes a complex and evolving set of legal, regulatory, and operational risks, including data privacy, intellectual property, disclosure obligations, and internal governance. Businesses, consumers, regulators, and courts are watching how organizations develop, deploy, and represent AI use, particularly related to marketing, data, and confidentiality.
Our AI governance attorneys help businesses adopt and scale AI technologies with governance frameworks that align innovation with legal and business objectives. Top-tier professional certifications in privacy and AI governance (CIPP/US, CIPM, and AIGP), equip us to provide practical, up-to-date, business-focused guidance to help clients move forward with clarity and discipline in the ever-evolving AI landscape.
- Developing and implementing AI governance frameworks, policies, and internal controls
- Ensuring AI policies cohesion with existing compliance polices and obligations
- Advising on data use, privacy, and security considerations in AI systems
- Reviewing and structuring vendor agreements and third-party AI integrations
- No Further Use Agreements
- Data Usage and Training Agreements
- Counseling on regulatory compliance, risk management, and emerging legal standards
- Assessing and mitigating risks related to bias, transparency, and accountability
- Advising on marketing, disclosures, and claims related to AI capabilities
- Conducting Shadow AI audits and risk assessments of existing AI tools and deployments
