AI Law
and PolicyCornell Certificate Program

AI is moving faster than most laws and organizational policies can keep up with, which creates real risk for leaders who are expected to adopt AI responsibly while still delivering results. Cornell’s AI Law and Policy Certificate is built to help you make better decisions in that gap between what the technology can do and what your organization should do.

In this certificate program from Cornell Law School, Cornell Tech, and the Cornell Brooks School of Public Policy, you will learn how to evaluate the legal and ethical implications of both predictive and generative AI, then translate that analysis into practical governance. You’ll work with risk-based and rights-based frameworks, examine privacy and anti-discrimination issues, and build strategies to reduce exposure related to intellectual property, defamation, and liability. You’ll also look beyond one jurisdiction, comparing U.S., European, and other global approaches so you can guide AI use across markets and regulatory regimes.

Because the learning is applied, you’ll repeatedly connect concepts to your own workplace use cases, including how to assess vendors, document decisions, and design internal guidelines that support transparency and accountability.

If you want practical legal and ethical frameworks for AI, actionable tools for governance and policy design, and the confidence to advise stakeholders on responsible adoption, you should choose Cornell's AI Law and Policy Certificate.

Many online AI law and governance courses are primarily content libraries; you watch videos, take a quiz, and move on. Cornell’s AI Law and Policy Certificate is designed to help you build decision-ready judgment by applying legal and ethical frameworks to realistic organizational scenarios, with structured milestones that keep you moving.

You will learn in an intimate cohort (typically up to 35 professionals) and get guidance from an expert facilitator who leads discussions and provides feedback on your work. That human-centered model is especially important in AI law and policy. Memorizing rules is rarely the hardest part; the real challenge is weighing trade-offs such as transparency versus trade secrets, innovation versus compliance, and automation versus human accountability, then clearly documenting and defending your recommendation.

Cornell’s AI Law and Policy Certificate also stands out for its end-to-end scope. You will move from foundational AI concepts and rights-based and risk-based analysis, into privacy and bias, then into intellectual property and liability, vendor contracting and auditing, global governance frameworks, internal policy design, and scenario planning for what comes next.

Plus, by enrolling in the AI Law and Policy Certificate, you get two years of access to AI Symposium featuring two days of live, highly interactive virtual Zoom sessions that will explore today’s most pressing topics, giving you a unique opportunity to engage in real-time conversations with peers and experts from the Cornell community and beyond.

Enrolling in this certificate also provides you with a 6-month All-Access Pass to eCornell's live online AI Workshops, interactive sessions led by world-class Cornell faculty that combine Ivy League insight with practical applications for busy professionals. Each 3-hour Workshop features structured instruction, guided practice, and real tools to build competitive AI capabilities, plus the opportunity to connect with a global cohort of growth-oriented peers. While AI Workshops are not required, they enhance certificate programs through:

• Integrating AI perspectives across most curricula
• Responding to emerging AI developments and trends
• Offering direct engagement with Cornell faculty at the forefront of AI research

Cornell’s AI Law and Policy Certificate is designed for professionals who need to make or influence decisions about AI adoption, governance, and risk, even if AI is not their full-time job.

The AI Law and Policy Certificate is a strong fit if you are:

• A business leader, product leader, or strategist accountable for responsible AI use in your organization
• A policymaker, government professional, or NGO leader working on AI oversight and public impact
• A compliance, risk, audit, or governance professional who must evaluate AI systems and vendor tools
• A lawyer or legal operations professional advising on privacy, discrimination, intellectual property, liability, and contracting risks
• An entrepreneur or startup professional building or deploying AI-enabled products and services

Because Cornell’s AI Law and Policy Certificate program covers both predictive and generative AI, it is particularly useful if you need a practical way to evaluate AI systems, not just experiment with them.

In Cornell's AI Law and Policy Certificate, you will complete applied, multi-part projects that ask you to analyze AI use cases the way a real organization needs you to: Identify benefits and risks, evaluate legal and ethical exposure, and propose practical mitigation and governance steps.

Past learners have tackled projects such as:

• Building an AI-supported entity-resolution system that standardizes names and identifiers so transportation inspectors can spot repeat violations despite messy, inconsistent data entry
• Deploying a behind-the-firewall retrieval-augmented assistant that pulls from approved internal SOPs to triage incidents, draft case summaries, and surface policy risks with citations for human review
• Designing an agentic compliance layer that autonomously audits generative AI visuals for bias and “digital colorism,” while maintaining a clear human oversight and audit trail
• Evaluating the legal and rights-based risks of using an AI “arbitrator” to issue binding decisions, then proposing guardrails like transparency requirements, rebuttal windows, and human validation
• Applying predictive AI to clinical trial recruitment by scanning health records for eligibility matches, while stress-testing privacy, consent, and representational bias in who gets identified

You can typically adapt your project work to your role and industry, so the final deliverables feel like practical guidance you can use in policy, product, compliance, procurement, or leadership conversations.

Cornell's AI Law and Policy Certificate equips you to become the person who can translate AI risk, regulation, and governance into clear recommendations leaders can act on.

After completing the AI Law and Policy Certificate, you will be prepared to:

• Assess AI's ethical and legal challenges
• Address privacy and equity concerns in AI
• Mitigate AI-related intellectual property and liability risks
• Determine AI’s global landscape
• Shape AI strategy and policies
• Propose strategies to address AI's future

Students report that the program helps them move from AI buzzwords to actionable frameworks they can use immediately in policy work, risk assessments, vendor and tool evaluation, and internal guidance. They frequently highlight increased confidence advising clients and stakeholders on responsible AI adoption, a strong focus on assessing AI systems rather than simply using them, and clear guidance for shaping organizational AI policies, procedures, and governance. Learners also note that facilitator feedback is substantive and timely, and that the paced, milestone-driven format reinforces day-to-day application.

What truly sets eCornell apart is how our programs unlock genuine career transformation. Learners earn promotions to senior positions, enjoy meaningful salary growth, build valuable professional networks, and navigate successful career transitions.

Cornell’s AI Law and Policy Certificate, which consists of 6 short courses, is designed to be completed in 3 months. Each course runs for 2 weeks, with a typical weekly time commitment of 3 to 5 hours.

Designed for busy professionals, the schedule is flexible because most learning activities are asynchronous, meaning you can complete readings, short video lessons, and project work on your own time. At the same time, the experience is structured and supported through facilitated discussions and interactive elements, which helps you stay accountable and apply what you are learning to your real workplace context.

Students in Cornell’s AI Law and Policy Certificate consistently describe the experience as a highly practical, well structured way to build real confidence advising on AI related legal, ethical, and governance issues in business and organizational settings. They often note that the program helps them move from buzzwords to actionable frameworks they can immediately apply to policy work, risk assessments, and internal guidance.

What students frequently highlight includes:

• Practical frameworks for evaluating AI legal and ethical risk in real world scenarios
• Clear guidance for shaping organizational AI policies, procedures, and governance
• Confidence to advise clients and stakeholders on responsible AI adoption
• Strong focus on assessing AI systems and vendor tools, not just using AI
• Insight into how law, regulation, and accountability intersect with fast changing AI
• Engaging instruction from Cornell faculty that makes complex topics easy to grasp
• Outstanding facilitator support with timely, substantive, and detailed feedback
• Short, digestible video lessons with transcripts that fit different learning styles
• A paced, milestone driven format that balances flexibility with accountability
• Assignments that reinforce concepts and translate directly to day to day work
• An online platform and course design that feels polished, organized, and easy to navigate
• A learning experience many feel is among their most engaging and rewarding online programs, leading them to recommend it to colleagues

Vendor selection and oversight are where many AI initiatives succeed or fail, especially when contract terms quietly shift risk to the buyer. Cornell's AI Law and Policy Certificate prepares you to do more than compare features. You will practice evaluating how a vendor’s data practices, transparency, and contractual terms affect privacy, bias, intellectual property, and liability exposure.

You will also learn practical approaches to auditing AI systems for both effectiveness and equity. That includes thinking in terms of measurable indicators such as error rates, disparate impact, appeal frequency, and how performance compares to human baselines. You’ll examine why diverse user testing matters, and how transparency initiatives like AI disclosures can reduce reputational and regulatory risk.

By the end of Cornell's AI Law and Policy Certificate program, you will be better prepared to ask the right due diligence questions before adoption and to put monitoring and accountability mechanisms in place after deployment.

Cross-border AI use often means you are operating under multiple, sometimes conflicting expectations about privacy, transparency, and accountability. Cornell's AI Law and Policy Certificate helps you build a practical lens for comparing how different regions approach AI development and governance, so you can advise on strategy, procurement, and compliance with fewer blind spots.

You will examine how major regulatory models differ, including U.S. sector-based approaches and state privacy regimes, European rights-based privacy requirements, and risk-tiered approaches to AI governance. You’ll also practice applying governance frameworks to make a clear go or no-go recommendation on a proposed AI tool, with an emphasis on reputational risk, documentation, and adaptability as rules evolve.

This global perspective is especially valuable if your organization buys AI tools from international vendors or deploys AI-enabled services across markets.

Putting AI into production is as much a governance and change-management problem as it is a technology decision. Cornell's AI Law and Policy Certificate helps you turn high-level principles into internal guidance your teams can actually follow.

You will work through practical questions organizations face during implementation, such as when humans should stay in the loop, how to build audit trails and accountability, and how to manage cultural resistance or overreliance on automated outputs. You’ll also practice drafting clear internal guidelines, including transparency notes and risk mitigation steps, so expectations are defined before issues arise.

Because Cornell's AI Law and Policy Certificate also includes scenario planning and uncertainty-mapping tools, you will be better equipped to update your policies over time as AI capabilities and regulations evolve.