Supervised Program For Alignment Research

SPAR is a Research & Education tool that connects aspiring AI safety and policy researchers with experts. It offers a part-time, remote research fellowship to work on impactful projects addressing AI risks.

Claim this tool

5Views

At a glance

Pricing

Free

Free tier

Yes

API

Skill level

Mixed

About

What is Supervised Program for Alignment Research?

The Supervised Program for Alignment Research (SPAR) is a part-time, remote research fellowship designed to connect rising talent with experts in AI safety and policy. Aspiring researchers gain valuable experience and guidance by working on impactful projects addressing risks from advanced AI. The program culminates in a Demo Day where mentees present their research, with opportunities for publication and career advancement. SPAR supports a broad range of research areas including AI Safety, AI Policy, AI Security, Interpretability, Biosecurity, and Societal Impacts. It is open to undergraduate, graduate/PhD students, and professionals with relevant technical or policy backgrounds, and does not require prior research experience.

Best used for

Ideal for students and job seekers who need to gain practical research experience in AI safety and policy, connect with leading experts, and present their work at a Demo Day. Especially valuable for those looking to transition into AI risk research roles.

Common actions

gain research experience

learn AI safety

network with experts

publish research

Capabilities

Key features

Structured mentorship
Impactful research projects
Demo Day presentations
Career fair
Publication opportunities
Remote and part-time

Target Audience

studentjob seeker

Integrations

Not yet documented

Pricing & Plans

Free

Not publicly disclosed. Check supervisedprogramforalignment.org for current pricing.

FAQs

Does SPAR compensate participants for their time?

SPAR covers project expenses such as compute and access to APIs/LLMs, but it does not personally compensate mentors or mentees. The program focuses on providing research experience, mentorship, and career opportunities rather than direct financial payment for participation.

What kind of research does SPAR support?

SPAR supports a broad range of research aimed at mitigating risks from advanced AI. This includes AI Safety, AI Policy, AI Security, Interpretability, Biosecurity, and Societal Impacts. Projects often lead to published papers or preprints with mentee co-authorship.

What are the eligibility requirements for SPAR?

The program is open to undergraduate, graduate/PhD students, and professionals with relevant technical (e.g., ML, CS, math) or policy (e.g., law, international relations) backgrounds. Previous research experience is not required, and SPAR encourages diverse applicants.

Trending

Subcategories trending in Research & Education

Academic Research Knowledge Management Course Creation Scientific Computing Summarization Language Learning

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce