Government Accountability Office, Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities, June 2021, 48. (202) 775-9111, Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government, Roadmap to Renewing Our Federal Government. Partnership for Public Service. To reset your password, submit your username or your email address below. Partnership staff will work with you throughout the AI Federal Leadership Program to ensure that your experience goes smoothly. This organization is required to file an IRS Form 990 or 990-EZ. 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. Graduation from Partnership programs is contingent upon full attendance and participation in our training sessions. A research report into the need, benefits and challenges for Public Service Mutuals to form partnerships as a route to growth and diversification. The public deserves user-friendly services from the federal government, whether its veterans who need health care, taxpayers who seek assistance from the IRS or college students who apply for financial aid. Building, energizing and maintaining a high-quality workforce is the key to success for any organizationand the federal government is no exception. The standards above are among the many principles that can guide public sector leaders in ensuring their use of artificial intelligence in service delivery is responsible and contributing to the public good. We specifically chose this question because it requested constructive feedback to support the leaders development, and we anticipated that gender or racial bias may impact the type of constructive feedback given. Washington, DC 20005. EIN: 06-1540513. Phase 1 of the project ran from 2016 to 2019, and Phase 2 of the project will run until December 2024. Partnership for Public Service. Join the Orlando Economic Partnership for a networking event featuring more than 900 of the area's top business leaders and elected officials. 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. Work with ODEP to disseminate and share effective disability employment practices and to provide expertise in communicating such information to employers and employees. "The G Word with Adam Conover," a newly released docuseries from Netflix and Higher Ground Productions, explores our government's triumphs, failures and how we might be able to change it, as well as the role that public servants play in making our country safer and stronger. The Partnership for Public Service: Building a better government and a stronger democracy. 19. 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. Developing a baseline understanding of artificial intelligence and how it operates can prepare non-technical leaders for collaboration around responsible AI, while technical experts can benefit from learning more about the service being delivered and the service populations needs and concerns. Tulshyan, R., and J. Historically, the common conception of what it means to be a leader has been built on characteristics typically associated with white men. These results were statistically significantly higher on all four core competencies and 15 of 20 subcompetencies. The reasons for these gender differences could be due to both employment and wage prospects in the public sector . Romero, Eric J. Lardy, B. The government workforce is more educated and more white-collar than the private-sector workforce. 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. Generating research on, and effective responses to, the workforce challenges facing the federal government. 2. 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. Washington, DC 20005 The experts we interviewed highlighted key recommendations for how technical and non-technical leaders can productively collaborate to ensure responsible AI use: Focus on the problem and intended outcomes. Program managers may have their heart set on improving their service delivery by incorporating an AI tool that has worked well in other contexts, or data scientists may be eager to implement an innovative prototype, but each group must heed concerns from the other when they arise. 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 We celebrate, honor and recognize exceptional public servants to illustrate the many ways they protect our health, safety and well-being, to reignite public trust in government and highlight the critical role it plays in our democracy, and to inspire people to join the federal workforce. Promote ODEP-funded technical assistance services, such as the Job Accommodation Network and the Employer Assistance and Resource Network on Disability Inclusion. Highlight best practices for how to make the case for and develop AI solutions. The Center provides critical assistance on how to organize . Overall, white women received the least positively framed feedback on opportunities to improve. As a part of our efforts to evaluate the 360 assessment tool and better align with current best practices in collecting demographic data, we will be updating and refining these categories. 27. Management in Education 32.4 (2018): 152-159. Excel uses a generic dictionary with negative and positive words and then assigns each phrase in the dataset a score based on how strongly that phrase aligns with those positive or negative words. Government and Public Administration (W20) Research Institutes and/or Public Policy Analysis (W05) IRS filing requirement. Next date: Tuesday, March 07, 2023 | 05:00 PM to 08:00 PM. Washington, DC 20005 Retrieved from. For more information, contact: Julia Barr [emailprotected] Privacy Policy Annually, Accenture and the Partnership for Public Service document the government's progress on customer experience and profile high-impact services. Generally, AI faithfully learns from the training data its fed but doesnt automatically highlight qualitative issues that could contribute to skewed results, said the GAOs Ariga, noting that agencies must be particularly vigilant in building and training AI models to prevent automating biased outcomes. 17. Dixon-Fyle, Sundiatu, et al. Average scores on core values, key and subcompetencies for all raters based on race and ethnicity. We work across administrations to help transform the way government operates by increasing collaboration, accountability, efficiency and innovation. "Intersectionality and leadership." Like other research, our analysis supports the need to not just focus on gender when seeking to understand this experience, but to also explore how other social identitiesespecially raceinfluence the social perception of women leaders in government.2. Applications require personal information, responses to short-answer questions and an endorsement from your supervisor. This year's report details key initiatives needed to further build a customer-centric mindset and accountability across every government function. Similarly, we found significant differences in the top adjectives used to describe the federal leaders in our sample based on race and gender. Routledge, 2018. 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. Background The Partnership was founded by Samuel J. Heyman in 2001. 30. Livingston, Robert W., Ashleigh Shelby Rosette, and Ella F. Washington. Psychological science 23.4 (2012): 354-358. 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 agencies are especially troubled. 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. Program Specific Contact Details. 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. Enjoy food, drinks and live music while networking. Anti-gay bias is . We greatly appreciate their time and counsel. Explaining the algorithm itself is likely not sufficient, said Vince Dorie, principal data scientist at Code for America. Henne, Kathryn. 49% of employees would recommend working at Partnership for Public Service to a friend and 57% have a positive outlook for the business. Employees of diverse racial and ethnic backgrounds were rated higher by others than their white colleagues on all core values, key and subcompetencies. Below are some of the specific considerations and questions non-technical leaders should address at each stage of the process. For more than 20 years, we have helped make this . Moorosi, Pontso, Kay Fuller, and Elizabeth Reilly. 600 14th Street NW Responsibly evaluating, implementing and using artificial intelligence tools requires successful collaboration between technical and non-technical 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. Furthermore, we recommend that agencies critically examine their approach to performance reviews, as well as their overall recruitment, retention, and promotion policies for racially and ethnically diverse leaders and women. 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. Overview of race and ethnicity data.20. Artificial intelligence has the potential to improve how government worksmore so than any other recent technological innovation. . (202) 775-9111. 5 . Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government. AI is often not the right tool when the consequencessuch as denial of much-needed financial assistanceof an AI tool making an incorrect decision have significant potential to negatively impact customers, and when correct decision-making requires complex thinking and evaluation for which AI is not well suited. 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. The Partnership teams up with federal agencies and other stakeholders to make our government more effective and efficient. The rankings and accompanying data provide a means of holding federal leaders accountable for the . 2023 Summer Leadership Development Internship. 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. White men were provided with more positively framed feedback to improve their leadership than white women. This requires rebuilding and revitalizing our government, and in our roadmap, we have identified four main areas that Congress and the administration need to prioritize: leadership and stewardship, the federal workforce, innovation and technology modernization, and collaboration. 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. We combined the categories to draw meaningful conclusions due to small sample sizes on individual categories, however we acknowledge that these categories do not represent a monolith, similar to white having a broad array of individuals under one category. /*-->*/. Women of diverse racial and ethnic backgrounds were identified as trustworthy the most in our sample. Although they highlight many of the same principles, each of these frameworks addresses specific considerations for how to achieve responsible artificial intelligence in a particular contextfor example, in the medical or legal fields. Phase 1 of the project ran from 2016 to . In the Papa Pounamu work programme, addressing bias means more than just unconscious bias training. Note:We are unable to provide individual counseling about the federal application process. div#block-eoguidanceviewheader .dol-alerts p {padding: 0;margin: 0;} of participants agree that they have a greater understanding of adopting and managing AI. The Partnership also trains college and university career counselors to help students like you learn more about the federal recruiting and hiring process, and find the best federal internship and fellowship opportunities, based on your skills and interests. 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. For more than 20 years, we have helped make this . Educate agency decision-makers on the opportunities around AI. 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. "Diversity wins: how inclusion matters. Learn more, The Public Service Leadership Institute brings together our many efforts to strengthen public service leadership. The impact of race and interpersonal dominance on perceptions of female leaders." By inspiring a new generation to servethat's youand working with federal leaders to bring top talentyou again!into the workforce, we are transforming the way government works. However, when examining just women, we did find important differences in ratings: Across the four core competencies and two core values, women of diverse racial and ethnic backgrounds were consistently rated higher by others compared with white women. 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. 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. These race and ethnicity categories predate the authors work on this project. 15. 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. "Equity at the intersection: Public administration and the study of gender." Her appreciation of the importance of using data to support decisions and improve effectiveness has spanned her career in nonprofits, academia, and government agencies. 11. To complement our quantitative data and better understand these trends, we used sentiment analysis to analyze one open-ended question on our 360 assessment: What is one behavior or practice this person could adopt to be a more effective leader?. Before submitting your application, please make sure that you are following your agencys internal guidelines for participation in this program. (202) 775-9111. They can influence actions and decisions such as whom we hire or promote, how we interact with persons of a particular group, what advice we consider, and how we conduct performance evaluations. Ensuring sufficient internal expertise to sustain and grow efforts over time. Retrieved from, 2. Washington, DC 20005 The top three most used adjectives to describe leaders in our sample were intelligent, trustworthy and hardworking. 29. 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. Yes, you can reapply if you meet the programs minimum qualifications. AI does well at eliminating certain types of biasfor example, unlike humans, its not susceptible to making different decisions because it is tired or hungry, or because the applicant is a family member but it also faithfully reproduces any biases present in the data it was trained on. 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. We also found that these diverse groups assess their own abilities more similarly to how others assess them compared to their white colleagues, which is typically a strong predictor of career advancement. These results can also be used to improve the governments ability to build a diverse workforce that represents all of the United States, designs services for those who need them most and provides a good overall customer experience to the public. .dol-alert-status-error .alert-status-container {display:inline;font-size:1.4em;color:#e31c3d;} Impact of Diversity and Inclusion on the Perception of Organizational Justice." Once accepted into the program, each participant will be assigned to a cohort led by an executive coach. Our previous research highlighted differences between how men and women leaders in the federal government scored on the Public Service Leadership Model. Select recommendations on Diversity, Equity, Inclusion and Accessibility (DEIA): Women are underrepresented in federal leadership positions, making up just 27.3% of the U.S. Congress in 2021, Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government, Public Service Leadership 360 assessment tool, high levels of public mistrust in the federal government, Best Places to Work in the Federal Government rankings, onlinelibrary.wiley.com/doi/epdf/10.1111/j.1540-6210.2009.01985.x, igeps.org/2021/12/06/inclusion-intent-or-impact/, ourpublicservice.org/blog/a-revealing-look-at-racial-diversity-in-the-federal-government/, onlinelibrary.wiley.com/doi/abs/10.1111/puar.13463, journals.sagepub.com/doi/full/10.1177/0892020618791006, www.berkeleycitycollege.edu/slo/files/2021/05/Crenshaw-Mapping-the-Margins-Intersectionality-and-Vioence-against-WOC.pdf, www.regent.edu/acad/global/publications/ijls/new/vol3iss2/IJLS_V3Is2_Richardson_Loubier.pdf, www.researchgate.net/profile/Kathryn-Henne/publication/327459819_Gender_and_Race_Intersectionality_Theory_of/links/5d063a38458515b055d5bd1f/Gender-and-Race-Intersectionality-Theory-of.pdf, www.researchgate.net/profile/Norma-Riccucci/publication/315772860_Intersectionality_in_Public_Leadership_Research_A_Review_and_Future_Research_Agenda/links/59d3dfeda6fdcc181ad948e8/Intersectionality-in-Public-Leadership-Research-A-Review-and-Future-Research-Agenda.pdf, onlinelibrary.wiley.com/doi/epdf/10.1111/puar.13477, hbr.org/2020/04/a-nonpartisan-model-for-developing-public-service-leadership, www.mckinsey.com/featured-insights/diversity-and-inclusion/diversity-wins-how-inclusion-matters, ourpublicservice.org/blog/diversity-equity-inclusion-and-accessibility-in-the-federal-government/. Many experts have created frameworks that aim to provide guardrails to help organizations take advantage of AIs capabilities while avoiding its potential risks. There are limitations to this analysis, and researchers should interpret these results with caution. Vice President, Leadership Development, Christina Schiavone The contents of this research brief do not necessarily reflect the views of those with whom we spoke, and the views of participating federal, state and local officials do not necessarily reflect positions or policies of federal, state or local governments or their agencies. Washington, DC 20005 12. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. We think you are in (Click to change) We could . We will evaluate applications based on numerous criteria to ensure that individuals selected for the program are interested in developing a vision for AI and leading change at their agencies. Although these agencies represent a small fraction of those that improved, others can apply these successes to create a better employee experience. 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 . When we closely examined the data, we uncovered several important trends about these differences. 4. 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. Policy Analysis ( W05 ) IRS filing requirement meet the programs minimum qualifications information... The common conception of what it means to be a leader has been on! 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