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Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
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Restrict CORS origins in rai_core_flask to prevent cross-origin data exfiltration (#2618)
d3222dbView on GitHubFix widget-e2e: add null-loader for CSS files to fix maplibre-gl compilation (#2613)
917a491View on GitHubFix UI tests: update Cypress config and test assertions (#2612)
58d474aView on GitHubFix ci-rai-core-flask: pip 25.x compatibility and artifact upload conflicts (#2609)
1850171View on GitHubFix CI builds: dependency compatibility for Node 16 and Python library breaking changes (#2608)
5317d7aView on GitHubAdd @imatiach-msft as code owner to all repository paths (#2611)
1e766ceView on GitHubJuno: check in to JUNO/hb_a12a4630-4852-4e7d-9cbc-c0e1117da1ab_20250205195819465. (#2598)
193644cView on GitHubFix erroranalysis conversion exception with object detection task for complex pred Y and true Y data and numpy>=1.26.0 by specifying object type (#2594)
e50d19cView on GitHubFix builds and update to python 3.9 as default in tests (#2593)
dfa37beView on GitHubRemove detection extra from torchmetrics install (#2590)
a53379dView on GitHub[A11y] Fix 'Vision data explorer' text present under 'analyse_ model' page is not defined as heading programmatically. (#2578)
87e2b85View on GitHub