Once accepted into the program, each participant will be assigned to a cohort led by an executive coach. The Partnership for Public Service is a nonprofit, nonpartisan organization, whose mission is to build a better government and a stronger democracy. We conduct research and engage with the innovation community to help agencies find new and creative ways to address big challenges, better understand how leaders use emerging technologies to improve government performance, and outline strategies aimed at more effectively recruiting and hiring qualified technology experts. We offer key insights, data and legislative recommendations to help Congress improve the operations and management of the executive branch, support and strengthen the federal civil service, and become more responsive tothe diverse needs of our nation. The daughter and granddaughter of public servants, she grew up with a deep respect for federal workers and their dedication to working on behalf of the public. Across our 13 interviews and one focus group, women repeatedly mentioned that they felt others in the workplace were holding them to different standards due to their gender. For more than 20 years, we have helped make this . In our first brief, we described in detail the differences in how men and women scored on the core values, competencies and subcompetencies of the Public Service Leadership Model based on data collected through the Public Service Leadership 360 assessment tool. Sy, Thomas, et al. When examining questions that asked raters to offer constructive feedback about employees in our sample, we discovered that white women received more negatively framed comments than white men and that women of diverse racial and ethnic backgrounds received more negatively framed comments than men of diverse backgrounds. But to capitalize on these benefits, leaders must understand AI fundamentals and how to use AI effectively. Some have already begun deploying AI tools in their services, while others have not so far adopted AI. Handbook on Gender and Public Administration. Federal Employee Morale is Falling, and One Group Thinks the Slow Appointments Process Is to Blame, Federal employees less satisfied under Biden: report, Partnership for Public Service "The Intersectionality of Leadership: International Considerations." Partnership for Public Service 600 14th Street NW Suite 600 Washington, DC 20005 (202) 775-9111. Agencies can successfully achieve strategic goals related to DEIA by taking several actions, including:31. 28. Men of diverse racial and ethnic backgrounds received more positively framed feedback than diverse groups of women. We believe that our future and our democracy depend on our ability to solve big problemsand that we need an effective federal government to do so. 32. We host informational webinars and go to college campuses to train students on how to apply for federal jobs. 2023 Summer Leadership Development Internship. Partnership for Public Service. div#block-eoguidanceviewheader .dol-alerts p {padding: 0;margin: 0;} How do we help you find a job in government? While various sociological and psychological theories offer insight into why these persistent gender gaps exist, a potential strategy to solve this issue is for researchers . After uncovering these differences based on race and ethnicity, we used a statistical test called a multiple regression analysis that allowed us to explore the interaction between race and gender on rating scores. Successfully collaborating on responsible AI requires technical and non-technical leaders to not only work together to implement AI tools, but also to mutually recognize when AI is not an appropriate solution. 4. McDonald, R., D. Conant, and A. Marshall. Lardy, B. Technical and non-technical leaders can improve their coordination by recognizing from the beginning that AI tools do not operate independently, but rather as part of a larger context. For more than 20 years, we have helped make this . 13,082 followers. Forgotten password. Washington, DC Easy Apply 8d. Based on these data points and previous research demonstrating that white men are often regarded as typical "leaders" in society,2567 we examined the open-ended question, Describe this person in up to three adjectives, and reviewed the most common adjectives used in the response. Collecting and analyzing this information will enable organizations that support the federal government and its institutionsand our government itselfto address the barriers that contribute to gender disparities in federal leadership roles and to build a more effective federal workplace. 18. It is also older. 19. Please note that participants will not be permitted to switch between options during the program. Agencies also should consider how to establish governance processes that facilitate agility, so that they can adapt as circumstances change and continue to adhere to responsible AI principles. Read our 2021-2022 Impact Report. 1. As a nonprofit, nonpartisan organization, the Partnership is uniquely positioned to lead the charge to . Identify activities that demonstrate, evaluate or replicate model disability employment strategies. A new partnership between the Texas Appraiser Licensing and Certification Board (TALCB) and the Texas Workforce Commission Civil Rights Division (TWC) benefits Texas consumers who may experience discrimination or bias in their home appraisal.. Federal and state laws prohibit discrimination by appraisers in conducting home appraisals. Baldner, Conrad, and Antonio Pierro. and Terms of Use A key facet of responsible AI is understanding when AI is or is not well-suited to address a specific problem. World Economic Forum, Global Gender Gap Report 2021. 600 14th Street NW The Government Accountability Offices 2021 AI Accountability Framework describes how key practices in the areas of governance, data, performance and monitoring can assist public sector organizations in ensuring responsible AI use. Vice President, Research, Evaluation and Modernizing Government, Andrew Marshall Take, for instance, Gregory Robinson, who recently received a Partnership for Public Service Samuel J. Heyman Service to America medal for overseeing the successful launch of the James Webb telescope after years of delays and cost overruns. Focusing on the common reference point of the problem an AI tool is intended to solve can help technical and non-technical leaders communicate more effectively. Learn How. I am just beginning to see that connection [between data quality and readiness for AI] happen in a meaningful operational way in state and local governments, said Takai of the Center for Digital Government. Stier was always concerned with the quality of government workers and was able to convince hedge fund manager Samuel Heyman to contribute $25 million to start up a non-for-profit dedicated to attracting qualified young people to government service, the Partnership for Public Service. The experts with whom we spoke outlined how several core principles of responsible AI apply to public service delivery. Some of these terms were used to positively assess leaders who are men, but negatively to assess leaders who are women. Background The Partnership was founded by Samuel J. Heyman in 2001. Chief Data Scientist and Director of Innovation Lab, Partnership for Public Service As stated in the 1996 report of the Task Force on Public Service Values and Ethics: Footnote 2 There are limitations to this analysis, and researchers should interpret these results with caution. Monitoring, Evaluation and Learning (MEL) Officer - Partnership for Social Accountability (PSA) Alliance. After finishing grad school, Biolamwini decided to continue her research on A.I.'s racial bias and quickly realized that much of this was a result of the non-diverse datasets and imagery used by . Using data to highlight the connection between diverse organizations and improved performance and to align leadership on why DEIA is important for their agency and for our government. "Intersectionality, leadership, and inclusion: How do racially underrepresented women fare in the federal government?." Artificial intelligence has the potential to improve how government worksmore so than any other recent technological innovation. For example, previous research outlines three main barriers to reducing racial and gender disparities in federal leadership: stereotypes about who makes a good leader and what good leadership looks like; a double-paned glass ceiling that holds back women and diverse groups from career advancement; and a lack of mentorship or professional development for these groups.15We cannot know for certain which of these causes, if any, is the most important factor driving our findings, but our data suggests that some combination of all three play a critical role. The Partnership for Public Service is committed to building a culture of inclusion. Henne, Kathryn. Best Places to Work Communications Toolkit, Developing a Culture of Teamwork and Collaboration, Fostering Diversity, Equity and Inclusion in the Workplace report, Providing Employees with High-Quality Training and Development Opportunities. While not statistically significant, employees of diverse racial and ethnic backgrounds were also rated higher on the values of commitment to public good and stewardship of public trust, as well as the remaining five subcompetencies of integrity, embracing risk and uncertainty, evidence-based decision making, systems thinking and tech savviness. There was no statistically significant pattern of people rating individuals differently based on the intersection of their gender and race or ethnicity. Elizabeth Byers contributes to the Partnerships portfolio of government effectiveness research, in particular projects on improving the customer experience with federal services. Ensuring responsible AI use is not a one-time exercise, but a continual process that requires attention every step of the wayfrom the first contemplation of incorporating AI into a program to the routine use of a fully-implemented tool. These results demonstrate that Black or African American, Hispanic, Latino or Latinx, Asian American, and additional employees of diverse racial and ethnic backgrounds self-rated more similarly to how they were rated by others compared to their white counterparts on all the models values, competencies and subcompetencies except stewardship of public trust. An official website of the United States government. "Demographic data" is an umbrella term used to house class . Vice President, Leadership Development, Christina Schiavone Additionally, the model outlines two core valuesstewardship of public trust and commitment to public goodthat federal leaders should demonstrate to live up to the highest ideals of public service. . .agency-blurb-container .agency_blurb.background--light { padding: 0; } The Partnership for Public Service is a nonpartisan, nonprofit organization that works to revitalize the federal government by inspiring a new generation to serve and by transforming the way government works. Breslin, Rachel A., Sheela Pandey, and Norma M. Riccucci. Federal government websites often end in .gov or .mil. To accelerate hiring and weed out potential bias, government agencies could integrate data and . Hekman, David R., et al. 600 14th Street NW Personal life. "The upand downside of dual identity: Stereotype threat and minority performance." (202) 775-9111. Select in-person sessions are followed by an optional one-hour networking lunch. .usa-footer .grid-container {padding-left: 30px!important;} "Mapping the margins: Intersectionality, identity politics, and violence against women of color." Equal treatment under the law is a core principle of democratic public service delivery, but agencies must be aware of the particular challenges that AI tools can present to the principle of non-discrimination. Can I reapply if I am not accepted into the program? 4. Suite 600 Retrieved from bit.ly/3fEn7AW. The Partnership teams up with federal agencies and other stakeholders to make our government more effective and efficient. The chart below highlights the percentage of respondents that used a given term to describe the federal leader. Governments at all levels can make a meaningful difference in achieving racial equity and eliminating bias and discrimination, in both the short and long terms. These values were statistically significantly higher than their white colleagues on all four key competencies and 17 of 20 subcompetencies. 10. The existing resources on standards for responsibly using artificial intelligence often focus on technical and data specifications.5 These are fundamental considerations, but such recommendations are often difficult to understand for those without deep technical knowledge. About Us. 25. Ensuring that everyone has a common understanding of the technical and non-technical foundations can help leaders better understand each other and more productively collaborate. Additional demographic details can be found in our research brief, Analysis of Federal Government Leadership Assessment Scores by Gender. Many public services, on the other hand, involve complex decisions where theres a lot more room for uncertaintyand where theres a really significant cost to getting it wrong, one public service expert said. The data scientists building AI tools, the chief information officers operating them, the general counsels reviewing their privacy implications, the program managers interpreting their results and many others all need to be collaborating for AI use to be follow responsible artificial intelligence principles. Recognize when AI is not the answer. From increasing efficiency to finding data insights that enhance the customer experience, AI is an invaluable tool for federal leaders to serve the public and transform their agencies. TheSamuel J. Heyman Service to America Medals honor exceptional public servants who keep our nation running and moving forward. Tulshyan, R., and J. High-quality data is fundamental to successful and responsible artificial intelligence tools. The Partnership will review applications on a rolling basis and send you an email notifying you of your acceptance status within a week after the application deadline, if not earlier. Suite 600 At PAI, equity and inclusion are core values which we seek to promote among our Partner organizations, in our own work, and throughout the greater AI field, including in machine learning and other automated decision-making systems. Diggs, S.N. How can non-technical and technical government leaders collaborate to ensure responsible AI use? Examine our reports, toolkits and other materials that focus on improving federal employee engagement. Read more. Partnership for Public Service. Percentage of individuals in each demographic category who were described using a specific adjective in a list of three. Retrieved from, 6. If we can find you in the database, an email will be sent to your email address, with instructions how to get access again. How frequently these words were used varied in a statistically significant way depending on the race/ethnicity and gender of the federal leader. The fact that men of diverse racial and ethnic backgrounds in our sample were less likely to be described as intelligent or hardworking than white menand that women of the same group were more likely to be described as warm than menreveals the need to ensure that leaders identify implicit biases in their performance evaluations of others. Stier has been married twice. In addition, the adjective trustworthy is used statistically significantly less for white women than for any other group in our sample. Instead, governments can demonstrate transparency by developing and adhering to a set of publicly available criteria that an AI tool must fulfill before it can be used for service delivery. There are also differences between mentorship and sponsorship in the federal workforce, which we will highlight in a future research brief. Also, scores on the four key competenciesbecoming self-aware, engaging others, leading change and achieving resultsand 20 subcompetencies. The Center provides critical assistance on how to organize . We believe that our future and our democracy depend on our ability to solve big problemsand that we need an effective federal government to do so. Preventing Bias in the Workplace. Our finding is significant, as it is one of few studies providing qualitative and quantitative data to understand how the experience of our federal leaders varies based on their race/ethnicity and gender. For example, if an AI tool decides an applicant is likely a fraud risk and denies a benefit, do they have the ability to see that result and its accompanying confidence metrics and contest that result? asked Ariga. The Partnership for Public Service: Building a better government and a stronger democracy. All in-person sessions will take place at the Partnership for Public Service offices in Washington, D.C. and applicants who live in the D.C. metro area are highly encouraged to join the in-person program. These differences were statistically significant for all subcompetencies except embracing risk and uncertaintypart of the leading change competencyand for three of the four achieving results subcompetenciesevidence-based decision-making, systems thinking and tech savviness, where the scores were still higher, but not statistically significant. We recommend future research to explore if this trend persists in the data. This finding reinforces the idea that federal leadersregardless of both gender and racedemonstrate the main ideals needed to make an impact in government. Next date: Tuesday, March 07, 2023 | 05:00 PM to 08:00 PM. The strategy for revitalizing public service is pursued through three strategic goals: securing the right talent, fueling innovation and efficiency, and building public support for the nation's civil service. Networking lunch provides critical assistance on how to use AI effectively Partnership teams with. 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