Our commitment to transparency and ethical AI in policing.
Accurately interpret Police BWC footage by employing open source ML, CV, & NLP technologies, resulting in identifiable behavioral patterns among police & civilians, analyzed in an interdisciplinary setting.
Improve policing through evidence-based recommendations sourced from BWC footage by leveraging AI in an ethical and unbiased manner.
A look back at our key milestones over the last year.
May 2024
Founded OpenBWC with a commitment to ethical AI and transparent policing analysis.
June 2024
Began development of the core analysis engine, focusing on computer vision models for object and behavior detection.
September 2024
Conducted preliminary testing with synthetic data to validate model accuracy and fairness metrics.
December 2024
Established collaborations with academic institutions and civil rights organizations.
February 2025
Secured first partnership for anonymized BWC footage, enabling real-world testing and model refinement.
May 2025
Expanded our analysis capabilities to include audio transcription and sentiment analysis.
September 2025
Launched the OpenBWC website and initial open-source code repositories to engage the wider community.
January 2026
Continuing to refine our models and expand partnerships to drive meaningful change in law enforcement practices.
All our code is publicly available, allowing for community review, contribution, and transparency.
Combining expertise in ML, criminology, data science, and civil rights to create holistic solutions.
Implementing robust anonymization and data protection measures in every aspect of our work.
Engaging with stakeholders, researchers, and the public to ensure our work serves real needs.
Join us in building a more transparent and accountable future for law enforcement.