Bibliothek

Filtern
151 Ergebnisse
  • CC Header

    Policy Readout - Columbia Convening on Openness and AI

    27. März 2024
    Columbia University, Mozilla
    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

    27. März 2024
    Columbia University, Mozilla
    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

    21. März 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

    27. Februar 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?

    26. Februar 2024
    Ramak Molavi Vasse'i, Gabriel Udoh
    AI fairness, accountability, and transparency

    Evaluating the Effectiveness of Watermarking and Labeling AI-Generated Content

  • TAI-cover

    Fortschritt in Richtung vertrauenswürdige KI vorantreiben

    22. Februar 2024
    Mark Surman, Lindsey Dodson, Ayah Bdeir, Alexis-Brianna Felix, Nik Marda
    AI fairness, accountability, and transparency / Wirksame KI-Transparenz

    Status-Update zu unserem Paper „Creating Trustworthy AI“ von 2020 und nächste Schritte für mehr Offenheit, Wettbewerb und Verantwortlichkeit in der KI

  • AI-01.jpg

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

    16. Februar 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

    8. Februar 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

    6. Februar 2024
    Mozilla Insights, Stefan Baack
    AI bias & discrimination / 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.

  • AI

    A Public Administration Route to Algorithmic Transparency I: The Anatomy of Administrative Law

    2. Februar 2024
    Amber Sinha

    Public administration, with its complex machinery and delegation of decision-making is uniquely suited as an analogy to algorithmic systems. The domain administrative law which governs it offers useful lessons for the transparency of AI systems.

Filtern