Explaining the algorithm itself is likely not sufficient, said Vince Dorie, principal data scientist at Code for America. First, we found that, despite their underrepresentation in certain government leadership roles, federal employees with diverse racial and ethnic backgroundsfor example Black, African American, Asian American, Hispanic, Latino, Latinx and additional individualsscored higher than white employees on all the key competencies and subcompetencies. Artificial intelligence is increasingly part of our livesvoice assistants on our smartphones, chatbots on retail websites and algorithms that suggest the next television show we should watch. For more than 20 years, we have helped make this . These scores are based on data collected through the Public Service Leadership 360 assessment tool. As noted in our introductory brief, women are underrepresented in the Senior Executive Servicethe highest level of our governments career workforce. Block, and Peter Stathatos. The Partnership teams up with federal agencies and other stakeholders to make our government more effective and efficient. (202) 775-9111, A vision for the future and ideas for how to get there, Excellence in Government Fellows Spring 2023 Orientation, 2023 Internship Coordinator Consortium Q1 Meeting, Learn More About How Were Improving Government, Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government, Congratulations to the 2022 Samuel J. Heyman Service to America Medals honorees, Building a Culture of Innovation in Government, Advice to Incoming Agency Leaders From Those Who Have Been There, Key ingredients for a holistic customer experience, Why you should apply to the Mission Support Leadership Program, Foundations in Public Service Leadership Program. Men of diverse racial and ethnic backgrounds received more positively framed feedback than diverse groups of women. Washington, DC Easy Apply 8d. For example, the U.S. Agency for International Developments Artificial Intelligence Action Plan and the University of Californias Responsible Artificial Intelligence report lay out standards and recommendations for future action to promote responsible AI use. 13. Partnerships for Better Public Services. Since 2002, weve trained more than 15,000 college students, including federal interns who return to campus to finish their degrees. Conclusion: Building blocks for responsible AI. Agencies can successfully achieve strategic goals related to DEIA by taking several actions, including:31. [CDATA[/* >