Effective transparency requires agencies to as much as possible, explain how the algorithm was evaluated, so that people understandthis is the standard it met, Dorie said. Review of Public Personnel Administration 41.2 (2021): 294-318. These scores are based on data collected through the Public Service Leadership 360 assessment tool. 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. For example, gender stereotypes may reinforce and exacerbate womens access to certain federal leadership positions. (202) 775-9111, LeadHERship in Federal Government: How Women Lead. "Mapping the margins: Intersectionality, identity politics, and violence against women of color." Learn more about these solutions below. 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. Select in-person sessions are followed by an optional one-hour networking lunch. 16. Launched in 2016, the political appointee tracker has been following roughly 800 of the 1,200 political appointed positions that require Senate confirmation, including Cabinet secretaries, chief financial officers, general . Fact 3: The public sector pays a higher wage premium to women than to men. 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. 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. 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. The Partnership for Public Service is committed to building a culture of inclusion. OrientationApril 13 (Virtual, 1:00 2:00 p.m. EDT/EST), Session 1: AI fundamentalsThursday, April 20, Session 2: Designing AI strategyThursday, May 18, Session 3: Fostering an AI-ready cultureThursday, June 15, Session 4: Establishing AI governanceThursday, July 13, Session 5: Responsibly leading AIThursday, Aug. 10, Session 6: The future of AI in governmentThursday, Sept. 7. $60,711 to $91,067 Yearly. Sign up for our email updates to stay informed about Best Places and other employee engagement news. Examining difference in perception of the value of stewardship of public trust based on race or ethnicity, as well as additional social identities. The International Encyclopedia of Anthropology (2018): 1-4. 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. By inspiring a new generation to servethats youand working with federal leaders to bring top talentyou again!into the workforce, we are transforming the way government works. 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. Many experts have created frameworks that aim to provide guardrails to help organizations take advantage of AIs capabilities while avoiding its potential risks. Our goal is to help the government earn the trust of its customers by meeting their needs and expectations. 30. It is also older. 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. Before beginning AI initiatives, organizations should be sure they have in place processes that enable collaborative decision-making that takes into account the many perspectives needed for truly responsible AI use. Collaborate with other Alliance participants on employer issues that are identified through the Alliance Program. Also, scores on the four key competenciesbecoming self-aware, engaging others, leading change and achieving resultsand 20 subcompetencies. .usa-footer .container {max-width:1440px!important;} 23. 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. 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. Loren DeJonge Schulman Meet these exceptional public servants who have contributed so much to our country (and the world)! The trackerprovides the most comprehensive data and analysisaboutthe political appointments process andhas playeda key role in providing the public with up-to-dateinformationabout the nomination and confirmationstatus of nominees for critical government roles. About Us. According to Neumann of the University of Texas, really thinking about the quality of the outcomes is the key to more effective communication and collaboration. "Representative bureaucracy theory and the implicit embrace of whiteness and masculinity." The adjective trustworthy was used statistically significantly less for white women than for any other group. 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. Figure 2. In our final research brief in the LeadHERship series we will compile and outline a list of lessons learned and recommendations gleaned from our quantitative analysis of the 360 data, as well as the qualitative interviews and focus groups we have conducted. 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. For more than 20 years, the nonpartisan, nonprofit Partnership for Public Service has been dedicated to building a better government and a stronger democracy. In addition to this list, mentorship is often considered a tool for underrepresented groups to advance in their career. Average scores on core values, key and subcompetencies for all raters based on race and ethnicity. Public Service Leadership Model. All these trends highlight specific interventions and strategies that leadership development programs should prioritize to build a more equitable and inclusive federal leadership corps. How frequently these words were used varied in a statistically significant way depending on the race/ethnicity and gender of the federal leader. Different agencies and levels of government have widely varying experience with using artificial intelligence in public service delivery. Washington, DC 20005 Of those, 1,123 were self-ratings, and 14,007 were ratings completed by othersfor example, managers, direct reports, friends or family, or colleagues. 600 14th Street NW Since 2002, weve trained more than 15,000 college students, including federal interns who return to campus to finish their degrees. 2. The Post and Partnership for Public Service, a nonprofit, nonpartisan organization, tracked roughly 700 key executive branch nominations through the confirmation process. Romero, Eric J. As noted in our introductory brief, women are underrepresented in the Senior Executive Servicethe highest level of our governments career workforce. Employing inclusive leadership practices, which directly impacts an employees experience and perception of organizational fairness, is a more crucial factor.9, Additionally, even within the field of study of women in leadership it is only recently that the focus has shifted from one of white women to also including Black womens experiences to understand how the intersection of racism and sexism compound systems of oppression.10, This idea, termed intersectionality by Kimberl Crenshaw, highlights the ways in which different social identities overlap to reinforce discrimination and is an important lens to understand womens experiences in the federal government, especially when it comes to race and gender.11 Using intersectionality to explore leadership is an evolving field of study1213 and necessitates caution in interpreting or generalizing results across diverse groupings of people.14151617 Our brief uses findings from our 360 assessment to build new knowledge in this area and add much-needed data analysis to studies of systemic racism, gender identity and whiteness.18. Considering questions such as how will frontline employees interpret model outputs and what are the privacy implications of using this system will help technical and non-technical leaders find concrete points of collaboration and ensure the AI tool is well-integrated into the broader system. Although these agencies represent a small fraction of those that improved, others can apply these successes to create a better employee experience. Prepare leaders to incorporate AI technology into their strategies and equip their workforce. There are many different types of biases, both unconscious and conscious. This organization is required to file an IRS Form 990 or 990-EZ. The adjective intelligent was used statistically significantly less for men of diverse racial and ethnic backgrounds than for any other group. How do we help you find a job in government? Figure 5. Sep 20, 2022. Current Directions in Psychological Science 19.1 (2010): 14-18. 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. When we closely examined the data, we uncovered several important trends about these differences. This field is for validation purposes and should be left unchanged. 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. 2023 Partnership for Public Service. White men were provided with more positively framed feedback to improve their leadership than white women. The Importance of Public-Private Security Partnerships to Public Safety. Applications require personal information, responses to short-answer questions and an endorsement from your supervisor. EIN. 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?. Partnership for Public Service and Accenture Federal Services, "Government for the People: Designing for Equitable and Trusted Customer Experiences," Nov. 16, 2021. For more than 20 years, we have helped make this . Provide expertise in developing information on the advancement of employment of people with disabilities and in communicating such information (e.g. 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. While not quite statistically significant, women of diverse racial and ethnic backgrounds were identified as warm the most in our sample. 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. When using artificial intelligence tools for service delivery, governments must be transparent with the public about why and how these tools are being used. Retrieved from bit.ly/3FIe9NZ. 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. Vice President, Communications, Partnership for Public Service 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. Retrieved from. Participants in our interviews and focus groups mentioned this consistently as one additional helpful tool, however, barriers can exist in those mentoring relationships32 and it may not address all the structural inequities that exist. Read more. Overview of race and ethnicity data.20. Our Center for Presidential Transition is the nations premier nonpartisan resource for presidential candidates and their teams as they prepare for a new administration or a presidents second term. Much of the story of American history reflects a slow but steady march from racial oppression to high acceptance and tolerance, including the election of a Black man to the presidency. Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government. We also found that, while there is not a consistent statistically significant difference in how individuals are rated based on their race, ethnicity and gender, women with diverse racial and ethnic backgrounds scored higher than white women on all core values and competencies. The principles below should serve as examples for leaders of how to adapt established tenets of responsible artificial intelligence to the specific context of public services. Whatever their level of experience, public sector organizations must put responsible AI principles at the center of their decision-making. We used sentiment analysis to measure the degree to which the answer to this question was framed positively or negatively. Please note that participants will not be permitted to switch between options during the program. Once accepted into the program, each participant will be assigned to a cohort led by an executive coach. Its seeks to encourage more young people to work for the federal government. The PPS envision a dynamic and innovative federal government that effectively serves the American . 17. 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. Yes, you can reapply if you meet the programs minimum qualifications. Additional demographic details can be found in our research brief, Analysis of Federal Government Leadership Assessment Scores by Gender. The Partnership for Public Service's Center for Presidential Transition is the nation's premier nonpartisan source of information and resources designed to help presidential candidates and their teams lay the groundwork for a new administration or for a president's second term. Do you offer makeup sessions? For examples see: Hope Reese, What Happens When Police Use AI to Predict and Prevent Crime?, JSTOR Daily, February 23, 2022. The state judiciary last Wednesday released new internal guidelines on handling EEO complaints for harassment and other types of discrimination. Adequately funding and providing time to build capacity in DEIA. Retrieved from, 4. Initiative for Gender Equity in the Public Sector. Full Time; Lusaka, Zambia . 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. For example, the adjective intelligent is used statistically significantly less for men of diverse racial or ethnic backgrounds than for any other group, and white men are identified as intelligent the most in our sample. To help federal leaders in their roles as public servants, we identified two core values that are uniquely relevant to government: stewardship of public trust and . Partnership for Public Service. Vice President, Research, Evaluation and Modernizing Government. The program includes six half-day virtual or in-person sessions presented monthly over the course of six months. "Diversity wins: how inclusion matters. The Partnership for Public Service (PPS) is a nonprofit, nonpartisan organization that works to revitalize the federal government by inspiring a new generation to serve and by transforming the way government works. L. Rev. 6. X2 (6, N = 12,792) =24.76, p = .05.22. 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. 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. Overall, we found that people in the federal workplace perceive leaders differently based on race and gender. 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 Developing a clear method for tracking progress and accountability over time. White women were identified as hardworking the most in our sample. Women are often perceived as warm and communal, whereas leaders are often viewed as more assertive and competent.4, In addition to these implicit biases, how we define and imagine leadership has historically been grounded in specific notions of gender and racespecifically ones that elevate white men and other societal norms.24567 This implicit bias leads to systemic bias against women and other leaders with diverse racial or ethnic backgrounds. 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. @media only screen and (min-width: 0px){.agency-nav-container.nav-is-open {overflow-y: unset!important;}} The program also includes a one-hour virtual orientation session. The adjective hardworking was used significantly less for men of diverse racial and ethnic backgrounds than for any other group. Next date: Tuesday, March 07, 2023 | 05:00 PM to 08:00 PM. (2021). In all, these findings suggest that federal leaders gender, or racial/ethnic background affects how they are perceived by their colleagues and coworkers. Partnership for Public Service 600 14th Street NW Suite 600 Washington, DC 20005 (202) 775-9111 Disseminate training and education materials to PPS members on issues of concern in order to advance the recruitment and employment of job candidates with disabilities. This interactive GPS map will help guide you through your career path journey, starting at GS 7-9 entry level, and spanning through the GS 12-13 level. This is particularly important in the context of public service delivery, where governmental organizations have an obligation to provide trustworthy and equitable services to all possible customers.3 While a wide body of research exists on the potential risks of governmental use of AI in law enforcement and national security contexts,4 less work has been done to examine what is needed for public sector organizations to responsibly use artificial intelligence in service delivery. 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. as well as at individual departments, agencies and subcomponents. To reset your password, submit your username or your email address below. Historically, the common conception of what it means to be a leader has been built on characteristics typically associated with white men. Baysu, Glseli, and Karen Phalet. Participants will choose to participate in the full program either virtually or in-person. Partnership for Public Service This trend also contradicts the underrepresentation of certain racial and ethnic groups in federal leadership roles by highlighting greater self-awareness and higher scores, overall, for these employees, which would suggest greater representation than present reality, based on skills and experience. These values were statistically significantly higher than their white colleagues on all four key competencies and 17 of 20 subcompetencies. dismantling bias, inclusion, sharing power, responsible & transparent use of power . of participants agree that they have a greater understanding of adopting and managing AI. 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. Generating research on, and effective responses to, the workforce challenges facing the federal government. Specifically, scores on the two core values stewardship of public trust and commitment to public good. 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. Public Administration Review 82.3 (2022): 537-555. Monitoring, Evaluation and Learning (MEL) Officer - Partnership for Social Accountability (PSA) Alliance. 31. World Economic Forum, Global Gender Gap Report 2021. EIN: 06-1540513. Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government, Responsible Artificial Intelligence report, Bit by Bit: How governments used technology to move the mission forward during COVID-19, Into the Storm: Using Artificial Intelligence to Improve Californias Disaster Resilience, More than Meets AI II: Building Trust, Managing Risk, 1. Emily Kalnicky oversees and advances efforts at the Partnership to understand and improve overall program effectiveness and mission achievement through monitoring and evaluation data. Thus, knowledge of which demographic groups individuals belong to is vital for measuring and mitigating such biases. 115-131. The Partnership for Public Service is a nonpartisan, nonprofit organization dedicated to building a better government and a stronger democracy. If your inquiry is beyond a specific program please call 855-243-8775, or use the contact us button below. Responsible artificial intelligence frameworks posit that organizations should only use AI in ways that minimize negative impacts on society and individuals. 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. 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. Figure 3. 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. Each session is three hours long and held from 9:00 a.m. 12:00 p.m. EDT/EST. The government workforce is more educated and more white-collar than the private-sector workforce. Please note, many agencies have specific application guidelines for their employees. AI tools use data to learn a task, and they continue to improve at functions such as transferring information from paper into computers, recognizing images, answering questions by quickly finding relevant information in databases or documents, detecting patterns in data, making decisions about simple queries and predicting someones behavior based on past conduct. TheSamuel J. Heyman Service to America Medals honor exceptional public servants who keep our nation running and moving forward. Impact bonds, outcomes funds, and other partnerships for public purpose (new PPPs) have the potential to support COVID-19 recovery while strengthening social service delivery. 2023 Summer Leadership Development Internship. [CDATA[/* >