55 results
  • Stress-test-ad-libraries-report-graphics

    Full Disclosure: Stress testing tech platforms’ ad repositories

    April 16, 2024
    Amaury Lesplingart, Claire Pershan
    Ads Transparency / Elections

    Mozilla called on Check First to test the ad transparency tools maintained by 11 of the world's largest tech companies. These tools aim to let researchers, watchdogs, and members of the public understand how commercial communications influence the information space and affect society.

  • CC Header

    Policy Readout - Columbia Convening on Openness and AI

    March 27, 2024
    Udbhav Tiwari
    Tech Policy & Regulation / Openness and AI

    This policy brief distills the discussions at Columbia Convening in 2024 for policymakers - identifying benefits that openness can bring to the AI ecosystem, the risk/benefit tradeoffs in opening up different components of the AI stack, and recommendations for policymakers.

  • CCTM

    Technical Readout - Columbia Convening on Openness and AI

    March 27, 2024
    Nik Marda
    Openness and AI

    Key technical takeaways from a convening focused on exploring what "openness" means in the AI era.

  • AI-Adoption

    AI Report on Southern Africa

    March 21, 2024
    Media Institute of Southern Africa (MISA)
    AI Fairness, Accountability and Transparency

    As governments, communities, and businesses across southern Africa continue to integrate artificial intelligence technologies into everyday life, they face three key challenges: AI readiness, AI deployment, and potential misuse of AI.

  • Global-Elections

    Mozilla’s Elections Casebook

    Feb. 27, 2024
    Odanga Madung, Becca Ricks, Open Source Research & Investigations
    Elections / Platform Accountability

    Mozilla's Elections Casebook scrutinizes what steps platforms have taken to protect election integrity globally. Case studies explore the impact of platform policies and interventions.

  • In transparency we trust Thumbnail

    In Transparency We Trust?

    Feb. 26, 2024
    Ramak Molavi Vasse'i, Gabriel Udoh
    AI Fairness, Accountability and Transparency

    Evaluating the Effectiveness of Watermarking and Labeling AI-Generated Content

  • TAI-cover

    Accelerating Progress Toward Trustworthy AI

    Feb. 22, 2024
    Mark Surman, Lindsey Dodson, Ayah Bdeir, Alexis-Brianna Felix, Nik Marda
    AI Fairness, Accountability and Transparency / Meaningful AI Transparency

    Status update on our 2020 paper “Creating Trustworthy AI” and next steps to promote openness, competition, and accountability in AI

  • AI-01.jpg

    A Public Administration Route to Algorithmic Transparency III: Thresholds for Transparency in the Private Sector

    Feb. 16, 2024
    Amber Sinha

    A regulatory focus on public law leaves out the bulk of algorithmic decision-making that we encounter in sectors such as finance, private healthcare, insurance, entertainment, and a host of other services. However, the features of administrative law which render it suitable for public sector use of

  • AI-02.2e16d0ba.fill-890x890-c100.format-jpeg.jpg

    A Public Administration Route to Algorithmic Transparency II: Thresholds for Transparency in the Public Sector

    Feb. 8, 2024
    Amber Sinha

    The use of algorithmic systems for public use comes with this own set of transparency expectations. The history of administrative decisions offers a rich body which can clearly inform the threshold of transparency for these decisions and how to apply them.

  • Common-Crawl-Spider

    Training Data for the Price of a Sandwich: Common Crawl’s Impact on Generative AI

    Feb. 6, 2024
    Mozilla Insights, Stefan Baack
    AI Bias / AI Fairness, Accountability and Transparency

    Mozilla finds that Common Crawl's outsized role in the generative AI boom has improved transparency and competition, but is also contributing to biased and opaque generative AI models.