fokipatriot.blogg.se - Workdone okr

Collaboration with GLAAD on an investigation into what YouTube is recommending LGBTQ+ individualsĢ5 bi-partisan policymakers endorse one or more aspects of our US platform transparency campaign.

Chico/Vero Instituto using RegretsReporter to support a YouTube investigation ahead of the Brazilian election in August.Investigating potential for data donation tools to drive policy change.In 2022, we’ll use RegretsReporter in more regions and with specific communities to test its impact. In 2021 we tested whether data donation was effective in driving policy change related to AI transparency in the EU. Mozilla Open Source Auditing Project (M-OAT) research/ paperĥ communities use RegretsReporter data as a platform to test its relevance.US-focused public awareness/policy push on systemic transparency.Using ‘computable contracts’ to support AI transparency.We want to learn from and seed a global community of builders committed to interrogating current practices and championing trustworthy AI within product teams at tech companies

OKR 1: Making AI Transparency the Norm: Test AI transparency "best practices" to increase adoption by builders and policymakers.ġ50 builders involved in the creation of the Best Practices Framework In 2022, the Foundation will also add an OKR for Diversity, Equity and Inclusion, based on an action plan developed following our Racial Equity and Belonging Audit (REBA) and collaborative decision-making process.Ģ022 OKRs are informed by Mozilla Foundation's three year narrative arcs. These objectives were developed based on our work in 20, and are linked to our multi-year Trustworthy AI theory of change, with links to specific short term outcomes. Key Results = “How will we know if we’re successful?”.Objectives = “What do we want to do and why?”.This document outlines the Mozilla Foundation’s organizational objectives and key results (OKRs) for 2022.

Mozilla Foundation is fueling a movement for a healthy internet.

1.1.6 OKR 6: Diversity, Equity & Inclusion: Deeply ingrain equity and belonging into our programs, systems and decision making through long term investment.

1.1.5 OKR 5: Organizational Effectiveness: Enhance our organizational systems and capabilities to support more data-informed decision-making.

1.1.4 OKR 4: Growing Across Movements: Strengthen partnership with diverse movements to deepen intersections between their primary issues and ours, including trustworthy AI.

1.1.3 OKR 3: Mitigating AI bias: Accelerate the impact of people working to mitigate bias in AI.

1.1.2 OKR 2: Modeling Good Data Stewardship: Accelerate more equitable data governance alternatives as a way to advance trustworthy AI.

1.1.1 OKR 1: Making AI Transparency the Norm: Test AI transparency "best practices" to increase adoption by builders and policymakers.