Mar 7, 2025
-
Mar 10, 2025
Online & In-person
Women in AI Safety Hackathon
Shape the future of safe and ethical AI development! Whether you're a researcher, developer, policy enthusiast, or new to AI safety - join us for an empowering weekend of innovation and collaboration. No prior AI safety experience required. Together, we can build the foundational tools and frameworks needed for responsible AI development.
00:00:00:00
00:00:00:00
00:00:00:00
00:00:00:00
Shape the future of safe and ethical AI development! Whether you're a researcher, developer, policy enthusiast, or new to AI safety - join us for an empowering weekend of innovation and collaboration. No prior AI safety experience required. Together, we can build the foundational tools and frameworks needed for responsible AI development.
This event is ongoing.
This event has concluded.
Sign Ups
Entries
Overview
Resources
Schedule
Entries
Overview
The Women in AI Safety Hackathon brings together talented individuals to tackle crucial challenges in AI development and deployment. This event particularly encourages women and underrepresented groups to contribute their unique perspectives to critical areas of AI safety, including alignment, governance, security, and evaluation.
As AI systems become increasingly powerful and pervasive, diverse perspectives in their development and safety mechanisms are more crucial than ever. This hackathon provides a platform for participants to:
Collaborate with leading women researchers and practitioners in AI safety
Develop practical solutions to pressing AI safety challenges
Build lasting connections in the AI safety community
Receive mentorship from experienced professionals
Present ideas to industry experts
Challenge Tracks
AI Alignment & Values
Developing methods for value learning
Improving reward modeling
Enhancing the interpretability of AI systems
Safety Evaluations & Testing
Creating robust testing frameworks
Developing evaluation metrics
Building assessment tools for AI systems
AI Governance & Policy
Designing accountability frameworks
Developing oversight mechanisms
Creating safety standards
Technical AI Safety
Addressing mesa-optimization
Working on robustness
Developing safety architectures
Sign Ups
Entries
Overview
Resources
Schedule
Entries
Overview
The Women in AI Safety Hackathon brings together talented individuals to tackle crucial challenges in AI development and deployment. This event particularly encourages women and underrepresented groups to contribute their unique perspectives to critical areas of AI safety, including alignment, governance, security, and evaluation.
As AI systems become increasingly powerful and pervasive, diverse perspectives in their development and safety mechanisms are more crucial than ever. This hackathon provides a platform for participants to:
Collaborate with leading women researchers and practitioners in AI safety
Develop practical solutions to pressing AI safety challenges
Build lasting connections in the AI safety community
Receive mentorship from experienced professionals
Present ideas to industry experts
Challenge Tracks
AI Alignment & Values
Developing methods for value learning
Improving reward modeling
Enhancing the interpretability of AI systems
Safety Evaluations & Testing
Creating robust testing frameworks
Developing evaluation metrics
Building assessment tools for AI systems
AI Governance & Policy
Designing accountability frameworks
Developing oversight mechanisms
Creating safety standards
Technical AI Safety
Addressing mesa-optimization
Working on robustness
Developing safety architectures
Sign Ups
Entries
Overview
Resources
Schedule
Entries
Overview
The Women in AI Safety Hackathon brings together talented individuals to tackle crucial challenges in AI development and deployment. This event particularly encourages women and underrepresented groups to contribute their unique perspectives to critical areas of AI safety, including alignment, governance, security, and evaluation.
As AI systems become increasingly powerful and pervasive, diverse perspectives in their development and safety mechanisms are more crucial than ever. This hackathon provides a platform for participants to:
Collaborate with leading women researchers and practitioners in AI safety
Develop practical solutions to pressing AI safety challenges
Build lasting connections in the AI safety community
Receive mentorship from experienced professionals
Present ideas to industry experts
Challenge Tracks
AI Alignment & Values
Developing methods for value learning
Improving reward modeling
Enhancing the interpretability of AI systems
Safety Evaluations & Testing
Creating robust testing frameworks
Developing evaluation metrics
Building assessment tools for AI systems
AI Governance & Policy
Designing accountability frameworks
Developing oversight mechanisms
Creating safety standards
Technical AI Safety
Addressing mesa-optimization
Working on robustness
Developing safety architectures
Sign Ups
Entries
Overview
Resources
Schedule
Entries
Overview
The Women in AI Safety Hackathon brings together talented individuals to tackle crucial challenges in AI development and deployment. This event particularly encourages women and underrepresented groups to contribute their unique perspectives to critical areas of AI safety, including alignment, governance, security, and evaluation.
As AI systems become increasingly powerful and pervasive, diverse perspectives in their development and safety mechanisms are more crucial than ever. This hackathon provides a platform for participants to:
Collaborate with leading women researchers and practitioners in AI safety
Develop practical solutions to pressing AI safety challenges
Build lasting connections in the AI safety community
Receive mentorship from experienced professionals
Present ideas to industry experts
Challenge Tracks
AI Alignment & Values
Developing methods for value learning
Improving reward modeling
Enhancing the interpretability of AI systems
Safety Evaluations & Testing
Creating robust testing frameworks
Developing evaluation metrics
Building assessment tools for AI systems
AI Governance & Policy
Designing accountability frameworks
Developing oversight mechanisms
Creating safety standards
Technical AI Safety
Addressing mesa-optimization
Working on robustness
Developing safety architectures
Speakers & Collaborators
Natalia Pérez-Campanero Antolín
Organiser
A research manager at Apart, Natalia has a PhD in Interdisciplinary Biosciences from Oxford and has run the Royal Society's Entrepreneur-in-Residence program.
Jasmine Wang
Judge
Jasmine is the control empirics team lead at UK AISI. Previously, she built and exited one of the first startups to use GPT-3, and worked at Partnership on AI and OpenAI.
Bessie O'Dell
Judge
Strategy & Delivery Advisor at UK AI Safety Institute, DPhil Oxford in AI & Psychiatry. Previously Visiting Fellow at GovAI, working on AI governance and openness
Myra Deng
Organizer
Founding PM at Goodfire, Stanford MBA and MS CS graduate previously building modeling platforms at Two Sigma
Lindsey Robertson
Co-Organizer
Data Science & Strategy Consultant with 15 years of experience in analytics and operations. Advocates for AI adoption in SMEs and diversity in tech, guiding businesses through data
Grecia Castaldi
Co-Organizer
Tech professional with 10+ years in Digital Design and Information Systems Engineering. Leads tech initiatives supporting women in LATAM, passionate about UX Design.
ChengCheng Tan
Co-Organizer
Owner of Cheng2 Design and Senior Communications Specialist at FAR AI. Stanford CS alum and Google Women Techmakers Ambassador, focused on AI Safety.
Ziba Atak
Co-Organizer
AI Engineer with psychology and business background. Specializes in NLP and generative AI.
Archana Vaidheeswaran
Organizer
Archana is responsible for organizing the Apart Sprints, research hackathons to solve the most important questions in AI safety.
Angela Cao
Co-Organizer
Data Scientist at Memorial Hermann Health, Rice University MDS grad. Top 3% Kaggle expert focusing on predictive analytics, ML, and NLP. Active in disability advocacy.
Hannah Betts
Education Track Judge
Special Projects Lead at FAR.AI focusing on AI safety and education. Former Lead Advisor at NZ Ministry of Education, bringing expertise in curriculum design and science education.
Zainab Majid
Judge
Zainab works at the intersection of AI safety and cybersecurity, leveraging her expertise in incident response investigations to tackle AI security challenges.
Tarin Rickett
Speaker
Product & Engineering Lead at BlueDot Impact, former LinkedIn Staff Engineer. CS and Brain Science grad from Rochester, passionate about educational tech and women in computing.
Andreea Damien
Social Science Track Organiser and Judge
Interdisciplinary Scientist with a socio-technical background and Visiting Fellow at the LSE, working at the intersection of natural and artificial systems.
Anna Leshinskaya
Social Science Track Judge
Cognitive Scientist at UC Irvine studying human cognition and AI alignment. Harvard PhD, affiliated with AI Objectives Institute, researching cognitive and moral alignment in LLMs
Cecilia Elena Till
Social Science Track Judge
Associate Director at Cooperative AI Foundation supporting research to improve AI cooperation for collective benefit. Former program manager focused on theory of change.
Li-Lian
Education Track Judge
Li-Lian is a product manager at BlueDot Impact. She leads their 5-day intro to AI safety courses and built their custom learning platform.
Astha Puri
Organiser
Astha Puri has over 8 years of experience in the data science field. Astha works on improving the search and recommendation experience for customers for a Fortune 10 company.
Speakers & Collaborators
Natalia Pérez-Campanero Antolín
Organiser
A research manager at Apart, Natalia has a PhD in Interdisciplinary Biosciences from Oxford and has run the Royal Society's Entrepreneur-in-Residence program.
Jasmine Wang
Judge
Jasmine is the control empirics team lead at UK AISI. Previously, she built and exited one of the first startups to use GPT-3, and worked at Partnership on AI and OpenAI.
Bessie O'Dell
Judge
Strategy & Delivery Advisor at UK AI Safety Institute, DPhil Oxford in AI & Psychiatry. Previously Visiting Fellow at GovAI, working on AI governance and openness
Myra Deng
Organizer
Founding PM at Goodfire, Stanford MBA and MS CS graduate previously building modeling platforms at Two Sigma
Lindsey Robertson
Co-Organizer
Data Science & Strategy Consultant with 15 years of experience in analytics and operations. Advocates for AI adoption in SMEs and diversity in tech, guiding businesses through data
Grecia Castaldi
Co-Organizer
Tech professional with 10+ years in Digital Design and Information Systems Engineering. Leads tech initiatives supporting women in LATAM, passionate about UX Design.
ChengCheng Tan
Co-Organizer
Owner of Cheng2 Design and Senior Communications Specialist at FAR AI. Stanford CS alum and Google Women Techmakers Ambassador, focused on AI Safety.
Ziba Atak
Co-Organizer
AI Engineer with psychology and business background. Specializes in NLP and generative AI.
Archana Vaidheeswaran
Organizer
Archana is responsible for organizing the Apart Sprints, research hackathons to solve the most important questions in AI safety.
Angela Cao
Co-Organizer
Data Scientist at Memorial Hermann Health, Rice University MDS grad. Top 3% Kaggle expert focusing on predictive analytics, ML, and NLP. Active in disability advocacy.
Hannah Betts
Education Track Judge
Special Projects Lead at FAR.AI focusing on AI safety and education. Former Lead Advisor at NZ Ministry of Education, bringing expertise in curriculum design and science education.
Zainab Majid
Judge
Zainab works at the intersection of AI safety and cybersecurity, leveraging her expertise in incident response investigations to tackle AI security challenges.
Tarin Rickett
Speaker
Product & Engineering Lead at BlueDot Impact, former LinkedIn Staff Engineer. CS and Brain Science grad from Rochester, passionate about educational tech and women in computing.
Andreea Damien
Social Science Track Organiser and Judge
Interdisciplinary Scientist with a socio-technical background and Visiting Fellow at the LSE, working at the intersection of natural and artificial systems.
Anna Leshinskaya
Social Science Track Judge
Cognitive Scientist at UC Irvine studying human cognition and AI alignment. Harvard PhD, affiliated with AI Objectives Institute, researching cognitive and moral alignment in LLMs
Cecilia Elena Till
Social Science Track Judge
Associate Director at Cooperative AI Foundation supporting research to improve AI cooperation for collective benefit. Former program manager focused on theory of change.
Li-Lian
Education Track Judge
Li-Lian is a product manager at BlueDot Impact. She leads their 5-day intro to AI safety courses and built their custom learning platform.
Astha Puri
Organiser
Astha Puri has over 8 years of experience in the data science field. Astha works on improving the search and recommendation experience for customers for a Fortune 10 company.
Registered Jam Sites
Register A Location
Beside the remote and virtual participation, our amazing organizers also host local hackathon locations where you can meet up in-person and connect with others in your area.
The in-person events for the Apart Sprints are run by passionate individuals just like you! We organize the schedule, speakers, and starter templates, and you can focus on engaging your local research, student, and engineering community.
Registered Jam Sites
Register A Location
Beside the remote and virtual participation, our amazing organizers also host local hackathon locations where you can meet up in-person and connect with others in your area.
The in-person events for the Apart Sprints are run by passionate individuals just like you! We organize the schedule, speakers, and starter templates, and you can focus on engaging your local research, student, and engineering community.
Our Other Sprints
May 30, 2025
-
Jun 1, 2025
Research
Beyond Single Models: The Martian Routing Hackathon
This unique event brings together diverse perspectives to tackle crucial challenges in AI alignment, governance, and safety. Work alongside leading experts, develop innovative solutions, and help shape the future of responsible
Sign Up
Sign Up
Sign Up
Apr 25, 2025
-
Apr 27, 2025
Research
Economics of Transformative AI
This unique event brings together diverse perspectives to tackle crucial challenges in AI alignment, governance, and safety. Work alongside leading experts, develop innovative solutions, and help shape the future of responsible
Sign Up
Sign Up
Sign Up
Sign up to stay updated on the
latest news, research, and events
Sign up to stay updated on the
latest news, research, and events
Sign up to stay updated on the
latest news, research, and events
Sign up to stay updated on the
latest news, research, and events