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Foundation/AI: Difference between revisions
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→2020 OKRs: Added KRs for Os 1-4
(Added link to 2020 Collaborative Roadmap to Trustworthy AI) |
(→2020 OKRs: Added KRs for Os 1-4) |
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|2020 objective | |2020 objective | ||
| Test out our theory of change in ways that both give momentum to other orgs taking concrete action on trustworthy AI and establish Mozilla as a credible thought leader. | | Test out our theory of change in ways that both give momentum to other orgs taking concrete action on trustworthy AI and establish Mozilla as a credible thought leader. | ||
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|Key Results | |||
| * Publish a whitepaper theory of change (H1) | |||
| * 250 people and organizations participate in mapping to show who is working on key elements of trustworthy AI and offer feedback on the whitepaper | |||
| * 25 collaborations with partners working on concrete projects that align with short term outcomes in the theory of change | |||
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|2020 objective | |2020 objective | ||
| Increase the number of data stewardship innovations that can accelerate the growth of trustworthy AI. | | Increase the number of data stewardship innovations that can accelerate the growth of trustworthy AI. | ||
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|Key Results | |||
| * $3 million raised to support bold, multi-year, cross movement initiatives on data stewardship as an indicator of growing philanthropic support in this area. | |||
| * 10 awards or fellowships for prototypes or other concrete exploration re: data stewardship. | |||
| * 4 concentric “networks of practice” utilize Mozilla-housed Data x Lab | |||
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| Mobilize an influential consumer audience using pivotal moments to pressure companies to make ‘consumer AI’ more trustworthy. | | Mobilize an influential consumer audience using pivotal moments to pressure companies to make ‘consumer AI’ more trustworthy. | ||
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|Key Results | |||
| * 3m page views to ‘trustworthy AI’ content on Mozilla channels (MoFo website, social media, YouTube, etc.). | |||
| * 50k new subscribers drawn from sources (partnerships, contextual advertising, etc.) oriented towards people ages 18-35. | |||
| * 25k people share information with us (stories, browsing data, etc.) in order to gather evidence about how AI currently works and what changes are needed. | |||
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|2020 objective | |2020 objective | ||
| Partner with diverse movements to deepen intersections between their primary issues and internet health, including trustworthy AI, so that we increase shared purpose. | | Partner with diverse movements to deepen intersections between their primary issues and internet health, including trustworthy AI, so that we increase shared purpose. | ||
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|Key Results | |||
| * 30% increase in partners with whom we (have both) published, launched, or hosted something that includes shared approaches to their issues and internet health (e.g. shared language, methodologies, resources or events). | |||
| * 75% of partners from these diverse movements report deepening intersection between their issues and internet health/AI. | |||
| * 4 new partnerships in the Global South report deepened intersection between their work and ours. | |||
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|} | |} | ||