Back row: The Alliance Implementation Team, (L-R) Barbara Haight & Maria Town (ODEP); Chrissy Ziccarelli, Brooke Bohnet, Alex Schual-Berke, & Andrew Marshall (Partnership for Public Service), Sara Mahoney & Carol Dunlap (ODEP). Next date: Tuesday, March 07, 2023 | 05:00 PM to 08:00 PM. of participants agree that they have a greater understanding of adopting and managing AI. The prime responsibilities of the Information Security Manager (ISM) role is to identify, quantify and proactively address security issues and changes in the businesses risk profile. This trend suggests that the underrepresentation of diverse groups of women in senior federal leadership positions is not due to a lack of leadership ability, but rather due to more systemic or structural factors. We talked to a subset of agencies that improved their scores or ranking in selected categories in order to identify best practices, new ideas and strategies for success. Inclusion: Intent or Impact? By recognizing this bias and working to combat it through empathy, perspective-taking, and respectful dialogue, we can promote a more nuanced and compassionate understanding of human behavior. Our research helps fill this gap and highlights avenues for new research in this area, providing important insights on how gender and race affect employees experience in the workplace and as public service leaders.16. Johnson III, Kevin. print and electronic media, electronic assistance tools and ODEP's and the PPS's Web sites) to employers. 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. Retrieved from, 3. 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. For more than 20 years, we have helped make this . D. Appleton, 1891. Along this journey, you will be directed to . Agencies can successfully achieve strategic goals related to DEIA by taking several actions, including:31. "Intersectionality of gender and race in governmental affairs." Announcing the winners of the 2022 Service to America Medals! 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. 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. .h1 {font-family:'Merriweather';font-weight:700;} These values were statistically significantly higher than their white colleagues on all four key competencies and 17 of 20 subcompetencies. 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. Washington, DC 20005 How do we help you find a job in government? Educate agency decision-makers on the opportunities around AI. A bias is a tendency or prejudice either toward or against something or someone. This rating has decreased by -6% over the last 12 months. Washington, DC 20005 World Economic Forum, Global Gender Gap Report 2021. Partnership for Public Service. Vice President, Leadership Development, Christina Schiavone This is an important finding, as we have discussed previously that more alignment of self- versus others ratings may indicate greater self-awareness and can be a predictor of strong performance and career advancement. Our country needs a federal government that is capable of dealing with our current problems and those looming on the horizon. Positive numbers indicate how many more times a given adjective was used than expected. Chief Data Scientist and Director of Innovation Lab, Partnership for Public Service Learn more, The Center for Presidential Transitions new book features interviews with historians and experts across the last eight transitions. Sex Roles 80.9 (2019): 565-577. Average scores on subcompetencies for self and others ratings based on race and ethnicity. Source: WWBI data. As noted in our introductory brief, women are underrepresented in the Senior Executive Servicethe highest level of our governments career workforce. However, some organizations are addressing questions of AI and data quality separately rather than as intertwined considerations. The reasons for these gender differences could be due to both employment and wage prospects in the public sector . Meet these exceptional public servants who have contributed so much to our country (and the world)! Consider that, in 2013, 56.7% of federal workers were between the ages of 45 . Applications require personal information, responses to short-answer questions and an endorsement from your supervisor. The ISM will focus on improving the end-to-end risk posture for the assigned LOB or product group, and ensure appropriate controls are implemented across the . Robust data quality is an important consideration regardless of an agencys intent to use AI, but agencies should take particular care to have this foundation in place if they are interested in using artificial intelligence tools to deliver public services. Suite 600 Some have already begun deploying AI tools in their services, while others have not so far adopted AI. 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. The rankings and accompanying data provide a means of holding federal leaders accountable for the health of their organizations, shining the spotlight on agencies that are successfully engaging employees as well as on those that are falling short. Suite 600 Management in Education 32.4 (2018): 152-159. To accelerate hiring and weed out potential bias, government agencies could integrate data and . Tulshyan, R., and J. Race, gender and public service leadership, Overview of demographic data for the individual leaders being rated. The Partnership for Public Service is a nonpartisan, nonprofit organization dedicated to building a better government and a stronger democracy. Average scores on core values, key and subcompetencies for all raters based on race and ethnicity. 15. It is important to determine any potential barriers or factors that are causing these employees to doubt their abilities on only this specific core value. Its often a very disconnected conversation between the development of an AI tool and its implementation in the context of a program, noted Ariga of the GAO. Retrieved from bit.ly/3fEn7AW. Technological tools such as artificial intelligence always have potential benefits and risks, according to Terrence Neumann, an academic studying AI at the University of Texas at Austin. The PPS pursues those goals by: Assistant Secretary Kathleen Martinez and Max Stier, President & CEO, Partnership for Public Service, sign ODEP's Alliance Agreement. Retrieved from bit.ly/3FIe9NZ. While not statistically significant, employees of diverse racial and ethnic backgrounds self-rated higher than their white colleagues on the remaining three subcompetenciesembracing risk and uncertainty, evidence-based decision-making, and systems thinkingas well as the core value of commitment to public good. /*-->*/. 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. Center for Digital Government, IBM and NASCIO, AI Meets the Moment, 2021, 11. Harvard Business Review, July 14 (2021). 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 . Additional demographic details can be found in our research brief, Analysis of Federal Government Leadership Assessment Scores by Gender. Crenshaw, Kimberl. 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. Identify employer specific issues of concern to which the Alliance should direct particular attention and resources. Figure 2. Think about AI in context. Responsible use of artificial intelligence for public service delivery also requires strong governance structures that facilitate collaboration and agility. 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. Emilys favorite public servants are EPA scientists and staff committed to using data and a lens to environmental justice to serve the mission to protect human health and the environment for all. This program is designed to: The Partnership has extensive experience delivering leadership development programs that support federal employees at all levels. Recognize when AI is not the answer. Routledge, 2018. Background The Partnership was founded by Samuel J. Heyman in 2001. How can non-technical and technical government leaders collaborate to ensure responsible AI use? Biases can also cause us to make discriminatory decisions . For more than 20 years, we have helped make this . 25. Organizations that have a rigorous, wholistic approach to cleaning and storing data will be better positioned to responsibly use artificial intelligence. This finding reinforces the idea that federal leadersregardless of both gender and racedemonstrate the main ideals needed to make an impact in government. These findings highlight the persistence of common stereotypes about leaders and leadership in the federal government. #Sammies2022. The Partnership for Public Service is a nonpartisan, nonprofit organization dedicated to building a better government and a stronger democracy. 5 . What is responsible artificial intelligence in the context of public services? 3. Please see ourFAQsandGlossary of Federal Termsfor more information. and Percentage of individuals in each demographic category who were described using a specific adjective in a list of three. Some government agencies have already incorporated artificial intelligence tools into their servicessuch as Federal Student Aids Aidan chatbot or Utahs efforts to prevent pandemic unemployment fraud using AI 1. 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. Note:We are unable to provide individual counseling about the federal application process. Program Specific Contact Details. Livingston, Robert W., Ashleigh Shelby Rosette, and Ella F. Washington. .manual-search-block #edit-actions--2 {order:2;} Learn more, The Public Service Leadership Institute brings together our many efforts to strengthen public service leadership. 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 . Bearfield, Domonic A. 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. Roadmap for Renewing our Federal Government, Best Places to Work in the Federal Government. Suite 600 [CDATA[/* > * /, white women received the least framed! 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