trusted AI

IBM Research at ICML 2020

At ICML 2020, IBM Research wll present several demos, talks, and papers related to trusted AI, including the topics of fairness, robustness and explainability.

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IBM FactSheets Further Advances Trust in AI

IBM Research released a new, informative website that shares the latest on AI FactSheets, designed to foster increased levels of trust in AI by increasing transparency and enabling governance. 

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IBM Research at CVPR 2020

Like so many events impacted the COVID-19 pandemic, the annual conference on Computer Vision and Pattern Recognition (CVPR 2020), has gone virtual. It’s an interesting time for all of us as we find new ways of working and opportunities to apply our research to help our communities.

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Making Neural Networks Robust with New Perspectives

IBM researchers have partnered with scientists from MIT, Northeastern University, Boston University and University of Minnesota to publish two papers on novel attacks and defenses for graph neural networks and on a new robust training algorithm called hierarchical random switching at IJCAI 2019.

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Introducing AI Explainability 360

IBM Research AI announced AI Explainability 360, a comprehensive open-source toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

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IBM Research Releases ‘Diversity in Faces’ Dataset to Advance Study of Fairness in Facial Recognition Systems

Originally published January 29, 2019; updated February 15, 2019, to reflect important contributions from Joy Buolamwini and Timnit Gebru in Gender Shades (2018) cited in the Diversity in Faces arXiv paper.

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Building Ethically Aligned AI

IBM Research has studied and assessed two possible ways to solve AI's "value alignment" problem and build ethically aligned AI systems.

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Trust and Transparency for AI on the IBM Cloud

A comprehensive new set of trust and transparency capabilities for AI on the IBM Cloud will support development of trusted AI services.

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Introducing AI Fairness 360

IBM Research announces AI Fairness 360, a comprehensive open-source toolkit of metrics and algorithms to check for and mitigate unwanted bias in AI.

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Factsheets for AI Services

Like nutrition labels for foods, factsheets for AI services would provide information about the product’s important characteristics.

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