Build relevant skills and connections by taking a course or internship:

• Join the AI Safety, Ethics and Society course to dive into the core challenges in ensuring that AI deployment is safe, ethical and beneficial to society
• If you’re interested in working as a technical AI researcher, consider applying for the Intro to ML Safety course, working through its syllabus or this course on LLM Safety in your own time, or applying for ML master's or PhD programs at institutions with relevant advisors/ mentors
• If you’re interested in policy, consider applying for relevant policy master's programs, or internships and fellowships in government or think-tanks (see this list for US policy fellowships or think-tanks)

Work on reducing risks from AI:

• Review job opportunities, or apply for funding to support your research or upskilling in AI safety, using the opportunities listed on arkose.org
• Review relevant opportunities on 80,000 Hours’ jobs board or read their career guides to AI policy (inc. specific guides for US and China) and technical AI safety research

This list of opportunities is far from exhaustive. There is a need for a wide range of skills and expertise in order to reduce risks from advanced AI. For example, there is also a small but growing community of philosophers and legal scholars focused on AI safety. However, career paths focused on technical AI research or policy are most developed currently.