How to become an AI policy analyst

Is becoming an AI policy analyst right for me?

The first step to choosing a career is to make sure you are actually willing to commit to pursuing the career. You don’t want to waste your time doing something you don’t want to do. If you’re new here, you should read about:

Overview
What do AI policy analysts do?

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How to become an AI Policy Analyst

Becoming an AI policy analyst requires a mix of education, technical knowledge, and policy expertise to help shape the responsible use of artificial intelligence.

  • Earn a Relevant Degree: The first step to becoming an AI policy analyst is to study a field related to AI and policy-making. Common degrees include law, public policy, political science, ethics, or computer science. A background in artificial intelligence or data science can also be helpful. Some universities now offer specialized programs in AI governance or ethics.
  • Gain Knowledge in AI and Policy: Understanding how AI works and its impact on society is essential. You can take online courses, attend workshops, or read about AI regulations and ethical concerns. Learning about topics like data privacy, algorithmic bias, and AI safety will help you develop the expertise needed for this career.
  • Develop Research and Communication Skills: AI policy analysts spend a lot of time researching, writing reports, and discussing policies with different groups. Improving your ability to analyze complex topics, write clearly, and communicate ideas effectively is crucial. Internships, research projects, or joining AI ethics discussions can help build these skills.
  • Get Work Experience: Gaining experience in policy-making, technology regulation, or AI ethics is important. You can start by working in government agencies, research institutions, AI-focused think tanks, or tech companies. Internships, fellowships, or entry-level policy analyst roles can provide valuable hands-on experience.
  • Stay Updated and Network: AI is a fast-changing field, so staying informed about new developments, laws, and ethical debates is important. Joining professional organizations, attending AI policy conferences, and networking with experts can open up job opportunities and help you advance in your career.

Certifications
There are several relevant certifications that can help aspiring AI policy analysts build expertise in AI governance, ethics, and policy-making. Here are some key options:

  • Certified Artificial Intelligence Governance Professional (AIGP) – Offered by the AI Governance Institute, this certification focuses on AI regulations, risk management, and ethical AI implementation.
  • MIT AI and Ethics Certificate – Provided by the MIT Sloan School of Management, this program covers responsible AI development, governance, and policy-making.
  • Harvard AI Ethics and Governance Certification – A professional program offered through Harvard University that explores AI regulation, legal frameworks, and ethical considerations.
  • Certified Information Privacy Professional/United States (CIPP/US) – Issued by the International Association of Privacy Professionals (IAPP), this certification covers U.S. privacy laws and regulations, which are important for AI policy analysts working with data privacy and security.
  • Georgetown AI Governance and Policy Certification – A specialized program focused on AI regulations, public policy, and legal considerations in the United States.
  • Stanford AI Governance and Ethics Certification – Offered by Stanford University, this program provides insights into AI governance, fairness, and regulatory compliance.