In brief. (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. Psychological science 23.4 (2012): 354-358. Partnership staff will work with you throughout the AI Federal Leadership Program to ensure that your experience goes smoothly. For more than 20 years, we have helped make this . However, these same women are identified as hardworking the most, while men of diverse racial and ethnic backgrounds are identified as hardworking significantly less than any other group. 11. We also train college and university career counselors to help their students understand the federal recruiting and hiring process and identify federal internship and fellowship opportunities. Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government. Public sector organizations interested in using AI for service delivery can enhance their ability to deliver responsible artificial intelligence principles such as non-discrimination and transparency through collaboration between technical and non-technical leaders and a focus on establishing strong data, talent and governance foundations. This field is for validation purposes and should be left unchanged. Leaders can collaborate better when they focus on ensuring the tool is achieving intended outcomes rather than getting caught up in technical specifications or program management frameworks. D. Appleton, 1891. This research brief from the Partnership for Public Service and Microsoft examines how principles of responsible artificial intelligence can apply to government service delivery and offers recommendations and considerations that non-technical government leaders should take into account as they decide whether and how to incorporate AI tools into their services. Indeed, a 2017 literature review that examined public leadership research demonstrated that only a handful of studies since the mid-2000s have focused on intersectional data. Tulshyan, R., and J. 23. The Partnership for Public Service is a nonprofit, nonpartisan organization that is building a better government and a stronger democracy. White men were provided with more positively framed feedback to improve their leadership than white women. 3. as well as at individual departments, agencies and subcomponents. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. .manual-search ul.usa-list li {max-width:100%;} The AI Federal Leadership Program is designed for members of the Senior Executive Service/Equivalents and select GS-15s. Stan. These women also indicated that others may use certain adjectives or leadership characteristics to describe men in a positive waybut not womenin the workplace. Identify activities that demonstrate, evaluate or replicate model disability employment strategies. Public Administration Review 69.3 (2009): 383-386. The PPS pursues those goals by: Assistant Secretary Kathleen Martinez and Max Stier, President & CEO, Partnership for Public Service, sign ODEP's Alliance Agreement. White men were identified as intelligent the most in our sample. .manual-search ul.usa-list li {max-width:100%;} $60,711 to $91,067 Yearly. The question of why leaders of diverse racial and ethnic backgrounds rated themselves lower on the value of stewardship of public trust than their white colleagues highlights a need for further research, especially as there are high levels of public mistrust in the federal government. A key facet of responsible AI is understanding when AI is or is not well-suited to address a specific problem. 2023 Summer Leadership Development Internship. Average scores on core values, key and subcompetencies for all raters based on race and ethnicity. "The affirmative action stigma of incompetence: Effects of performance information ambiguity." Particularly when certain constituent characteristics are underrepresented in data or form a small portion of a services customer base, public service leaders should ensure that the data underpinning AI tools accounts for everyone who might interact with a service. 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. In addition to this list, mentorship is often considered a tool for underrepresented groups to advance in their career. There are limitations to this analysis, and researchers should interpret these results with caution. The federal government-wide Best Places to Work employee engagement and satisfaction score for 2021 is 64.5 out of 100, a 4.5-point decrease from 2020. 22. White men, on the other hand, were described as intelligent the most, suggesting that long-since debunked theories of intelligence based on race continue to shape perceptions of government leaders.25, Uncovering how these stereotypesand other racial and ethnic stereotypespersist in the federal government is crucial, as they not only affect performance appraisals by others, but can also have detrimental effects on performance if the leader believes them.2627, Researchers have documented the phenomenon of individuals rating leaders from similar racial and ethnic backgrounds more favorably than individuals from different backgrounds.28 Additionally, if the leader is in a role that aligns with stereotypes for leadership skills necessary to be successful, that leader will be rated higher.29. Retrieved from: www3.weforum.org/docs/WEF_GGGR_2021.pdf. An agency within the U.S. Department of Labor, 200 Constitution AveNW 43 (1990): 1241. .paragraph--type--html-table .ts-cell-content {max-width: 100%;} Read more, Read our op-ed on how Congress can strengthen the nonpartisan civil service. Learn more about these solutions below. For more than 20 years, we have helped make this . Examining difference in perception of the value of stewardship of public trust based on race or ethnicity, as well as additional social identities. Management in Education 32.4 (2018): 152-159. ol{list-style-type: decimal;} Figure 4. Phase 1 of the project ran from 2016 to 2019, and Phase 2 of the project will run until December 2024. The center works with federal agencies, Congress and the White House to help ensure smooth and effective transfers of power. From . 13,082 followers. 24. We have high standards for our participants. Algorithmic bias refers to the ways in which algorithms might perform more poorly for certain demographic groups or produce disparate outcomes across such groups. There was no statistically significant pattern of people rating individuals differently based on the intersection of their gender and race or ethnicity. Partnership for Public Service and Accenture Federal Services, "Government for the People: Designing for Equitable and Trusted Customer Experiences," Nov. 16, 2021. Elizabeth Byers contributes to the Partnerships portfolio of government effectiveness research, in particular projects on improving the customer experience with federal services. Her appreciation of the importance of using data to support decisions and improve effectiveness has spanned her career in nonprofits, academia, and government agencies. Collaborate with other Alliance participants on employer issues that are identified through the Alliance Program. "Gender and Race, Intersectionality Theory of." The Partnership for Public Service is a nonpartisan, nonprofit organization dedicated to building a better government and a stronger democracy. Once accepted into the program, each participant will be assigned to a cohort led by an executive coach. Johnson III, Kevin. Henne, Kathryn. The Partnership for Public Service is the place where you learn how to manage competing priorities and also build the network of support that will help you further your career., -Gwen Keyes Fleming, former chief of staff at the EPA, Partnership for Public Service As AI becomes more common in our everyday interactions with private sector entities, it is also increasingly relevant for the delivery of public services by federal, state and local governments. Even more convincing, we found that raters used the word intelligent and hardworking less frequently to describe men of diverse racial and ethnic backgrounds than for any other demographic group. Conclusion: Building blocks for responsible AI. Summer 2023 application open through November 27, 2022. Retrieved from, 4. Exploring other ways that implicit bias may affect perceptions of federal leaders. Microsofts mission is to empower every person and every organization on the planet to achieve more. 600 14th Street NW "Stereotype threat deconstructed." Whether agencies are building their own AI systems or acquiring them from outside vendors, they should ensure they have sufficient expertise to evaluate and operate artificial intelligence tools. 12. Overall, white women received the least positively framed feedback on opportunities to improve. Its important to say, does your organization have the governance structure to methodically bring these perspectives in throughout the [AI] lifecycle, and do they have enough authority in the matter? said the GAOs Ariga. The Partnership for Public Service is a nonprofit organization which provides consulting services to government agencies with the aim to make them more efficient. Like traditional processes that provide opportunities for members of the public to appeal government decisions, public services using AI must provide customers with due process and opportunity for redress if they are negatively impacted by a decision made by or reliant on AI. Washington, DC 20005 /*-->*/. Specifically, scores on the two core values stewardship of public trust and commitment to public good. The PPS envision a dynamic and innovative federal government that effectively serves the American people. While not in the list of top three adjectives, we include warm here for comparison since it has been used in the literature to describe a characteristic that women leaders are more often expected to display than leaders who are men. Journal of Applied Psychology 95.5 (2010): 902. In this brief, we used the same statistical test, an independent samples t-test, to compare average scores on self-ratings and others ratings for employees with diverse racial and ethnic backgrounds and white employees. 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 all subsequent analyses conducted for this research brief, we created a diverse race/ethnicity category where we combined all race and ethnicity categories other than white. The data used in, and outputs of, artificial intelligence models related to public service delivery should be representative of the eligible constituents of a particular public service. Think about AI in context. 7. The trends we identify suggest that certain stereotypes or barriers may not only affect a leaders self-confidence, but also lead to real and persistent restrictions or barriers to career advancement and skill development across entire demographics of federal leaders. 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. Best-in-class private sector organizations understand that increased employee engagement and satisfaction lead to better performance and outcomes, and federal leaders need to follow suit by placing greater emphasis on improving the workforce and the workplace culture. 4. .usa-footer .grid-container {padding-left: 30px!important;} Chief Data Scientist and Director of Innovation Lab, Partnership for Public Service Government and Public Administration (W20) Research Institutes and/or Public Policy Analysis (W05) IRS filing requirement. The Importance of Public-Private Security Partnerships to Public Safety. (2021). Legal name of organization: PARTNERSHIP FOR PUBLIC SERVICE INC. Close. The COPS-R (Candidate and Officer Personnel Survey - Revised), a 240-item test used in PPE, has 20 items specifically assessing for bias against minorities, women, the wealthy, and educated people. 14. SAfAIDS, and Public Service Accountability Monitor (PSAM) of Rhodes University. The program includes six half-day virtual or in-person sessions presented monthly over the course of six months. The Partnership teams up with federal agencies and other stakeholders to make our government more effective and efficient. Our findings warrant future research to better understand how implicit bias affects the workplace experience of specific groups of federal employees. Partnership for Public Service; Best Places to Work; Center for Presidential Transition; Go Government; Service to America Medals; About Us; Join Our Team; Upcoming Events; Press Room; Plan Your Visit; Annually, Accenture and the Partnership for Public Service document the government's progress on customer experience and profile high-impact services. Making information easily available can help build trust between agencies and the people they serve, and this is all the more important when customers may not have much familiarity with how these tools operate. Government Accountability Office, Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities, June 2021, 48. Build a common foundation. Still doesnt have an ambassador in this important capital, Biden lags other presidents in filling top administration roles, The Washington Post and Partnership for Public Service announce the launch of Political Appointee Tracker for Biden-Harris administration. Posted: February 02, 2023. Background The Partnership was founded by Samuel J. Heyman in 2001. Crenshaw, Kimberl. Examining how, or if, additional social identitiessuch as disability status, LGBTQ+, age and morerelate to leadership assessment scores. Open discussions and a commitment to responsible AI principles can help leaders build understanding about why colleagues may believe AI is not appropriate in a certain context and come to agreement about when to pursue and when to abandon artificial intelligence solutions. We enable digital transformation for the era of an intelligent cloud and an intelligent edge, empowering governmentfrom large federal agencies to small-town governmentsto promote citizen well- being, manage communications and enhance crisis response. Partnership CEO Max Stier and Dr. Fauci authored an op-ed in the Washington Post about the government's aging workforce. #Sammies2022. Partnership for Public Service. Vice President, Research, Evaluation and Modernizing Government. @media (max-width: 992px){.usa-js-mobile-nav--active, .usa-mobile_nav-active {overflow: auto!important;}} What is responsible artificial intelligence in the context of public services? The data provides leaders with a roadmap to better manage our governments most important assetits employees. The Partnership teams up with federal agencies and other stakeholders to make our government more effective and efficient. 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. This significant downturn in employee engagement and satisfaction occurred as the COVID-19 pandemic continued to disrupt the federal workforce as tens of thousands of civil servants faced uncertainty about returning to the office after more than a year and a half working remotely part or full-time, while a sizable portion of the workforce remained on the frontlines performing critical public services as the health crisis persisted. Note:We are unable to provide individual counseling about the federal application process. AI might be the right solution for an agency looking to answer website visitors simple questions via a chatbot, but might not be an appropriate choice to evaluate the likelihood an applicant will commit benefits fraud. Furthermore, using qualitative data, we also found that gender bias persists in the federal workplace against both diverse groups of women and white women. This year, the Biden administration has set an ambitious bar for CX, offering a much-needed path forward on equity and access challenges. See website for registration details. Please note, many agencies have specific application guidelines for their employees. See also: Partnership for Public Service and Microsoft, Into the Storm, July 9, 2020, 1. Suite 600 When using artificial intelligence tools for service delivery, governments must be transparent with the public about why and how these tools are being used. 2. An official website of the United States government. . How frequently these words were used varied in a statistically significant way depending on the race/ethnicity and gender of the federal leader. In addition, the adjective trustworthy is used statistically significantly less for white women than for any other group in our sample. Specifically, we identified key differences across gender and race/ethnicity for how individuals are rated by themselves and others. .table thead th {background-color:#f1f1f1;color:#222;} Some current efforts recognize this need and aim to assist agencies in developing expertisethe AI Training Act signed into law in October 2022 charges the Office of Personnel Management with developing a training program to help acquisition professionals better understand artificial intelligence and its potential risks and benefits. For more than 20 years, we have helped make this . Some of these terms were used to positively assess leaders who are men, but negatively to assess leaders who are women. Suite 600 $190K-$220K Per Year (Employer est.) 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. Technical and non-technical leaders each bring important expertise to conversations around responsible AI, but this expertise is sometimes difficult to communicate across different frames of reference. Many are former federal leaders from a wide variety of agencies, and all have extensive experience in executive leadership coaching, organizational development, and training and facilitation in the public sector. Because our previous analyses identified significant differences in how men and women were rated by others, such as supervisors, direct reports, colleagues, or friends and family, we also ran an additional statistical test, a two-way analysis of variance (ANOVA), to explore any trends in how others rated women based on their race and ethnicity. 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