PulseAugur / Brief
EN
LIVE 15:30:36

Brief

last 24h
[2/2] 224 sources

Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. COMMENTARY · Mastodon — mastodon.social English(EN) ·

    What would # AI governance look like if it took data workers seriously? Tomorrow, we bring together researchers and practitioners to discuss labor conditions in

    The Weizenbaum Institute is hosting an online discussion on June 16, 2026, focusing on AI governance and the critical role of data workers. The event will bring together researchers and practitioners to explore labor conditions within AI supply chains, evaluate the effectiveness of current regulatory frameworks, and identify methods to amplify the voices of data workers in policy development. AI

    What would # AI governance look like if it took data workers seriously? Tomorrow, we bring together researchers and practitioners to discuss labor conditions in

    IMPACT This discussion aims to highlight the importance of data workers in AI supply chains and their representation in policy, potentially influencing future AI governance models.

  2. TOOL · Mastodon — fosstodon.org English(EN) ·

    Today I will present our research on the misleading use of " # openness " regarding # AI . Join us at the # Weizenbaum conference in # Berlin . Rainer Rehak, An

    Researchers Rainer Rehak, André Ullrich, and Gergana Vladova will present their work at the Weizenbaum conference in Berlin. Their paper, "Contesting Openness in AI," published in the ACM International Conference on Information Technology for Social Good, examines the problematic application of the term "openness" in the context of artificial intelligence. The research questions the transformative value and participatory potential often attributed to open-source AI. AI

    Today I will present our research on the misleading use of " # openness " regarding # AI . Join us at the # Weizenbaum conference in # Berlin . Rainer Rehak, An

    IMPACT Challenges the common perception of open-source AI, prompting critical evaluation of its participatory potential.