While we’ve seen amazing improvements in model performance over the last several years, we must be aware of the remaining downsides of these models. We believe that by jointly improving these models as well as evolving our approaches to evaluating them is essential going forward.
Some companies are AI-ifying their products without ensuring customer data is 100% protected. Here's how your business can leverage the productivity gains of AI without giving away your most sensitive data.
We have established a set of five guidelines that build upon our Trusted AI Principles to provide more detailed guidance for the responsible development and implementation of GenAI.
It is not enough to deliver only the technological capabilities of AI – we also have an important responsibility to ensure that AI is safe and inclusive for all. These are our commitments to building AI responsibly.
We summarize insights from our FAccT 2022 CRAFT workshop that focused on Concepts of Fairness & Transparency, Applied RAI Practices, Organizational Approaches to RAI & Cultural Change, and Public Policy & Regulation.
We brought together 24 practitioners from 17 organizations to talk about a success in their practice they believed others could emulate or a challenge they were facing & wanted to brainstorm with others. We summarize the insights from 2 breakout discussions: Governance/Accountability & Incentives.
December 21, 2021 The leading AI research conference, NeurIPS 2021, has recently wrapped up, spanning seven very full days, 2,344 accepted papers, eight invited talks, ten tutorials, and nearly 70 workshops. Though there…
August 5, 2021 In June 2021, four of us from the Salesforce AI Ethics and Conversational Design teams collaborated with the Montreal AI Ethics Institute (MAIEI) to facilitate a workshop on the responsible…