[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-160565-en":3,"doc-seo-160565-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},160565,1649267921044,"Ava Thompson","https://us-avatar.wpscdn.com/avatar/1800007509477c92dfb?_k=1786009248482753345",8,"Research & Report","Lessons from Pennsylvania’s Generative AI Pilot with ChatGPT - March 2025","March 2025 report distills lessons from Pennsylvania’s Commonwealth ChatGPT Pilot program using ChatGPT Enterprise. Over 175 employees participated, with 136 submitting direct feedback across diverse roles and prior AI exposure, including 48% first-time ChatGPT users. Results show 85% positive experiences and reported work-productivity improvements, while emphasizing adoption challenges such as accuracy, privacy concerns, limited learning time, and a learning curve. Key use cases focus on idea generation, transforming text-heavy processes, and strengthening stakeholder communications.","MARCH 2025  \nLessons from Pennsylvania’s Generative AI Pilot with ChatGPT  \nINTRODUCTION  \nReport Summary Overview  \nThroughout the Commonwealth’s ChatGPT Pilot program, over 175 employees accessed ChatGPT Enterprise, with  \n136 providing direct feedback to the Commonwealth on their experience. These employees volunteered to explore this new technology and ranged in age, job type, seniority, experience with AI technology, and included participation from union covered employees . Notably, 48% of participants had never used ChatGPT before this pilot program. Overall, 85% of participants had a positive experience using ChatGPT. While this population is not representative of the Commonwealth’s workforce at large, participants broadly reported that they experienced efficiency gains and improvements to their work product.  \nChatGPT users in this pilot varied in terms of the extent to which they relied on ChatGPT, however , pilot superusers did not have one consistent profile. Successful use was a function of how well employees could navigate common adoption challenges such as inaccuracy, habit forming, lack of learning time, learning curve, and concerns about data & privacy.  \nDriving Government Impact:  \nThe most frequent use cases of ChatGPT stood out because Commonwealth employees found ChatGPT most useful and effective in completing work that is unique to the public sector .  \nMany government teams are immersed in complex policies, procedure, routines, stakeholders, and processes. ChatGPT provided atool to tackle these challenges. ChatGPT particularly enabled participants to succeed in government work as:  \nInnovation Engines: Empowering participants to generate ideas, explore solutions, and accelerate problem-solving despite various constraints .  \nBureaucracy Hackers: Creating documentation, demystifying polices, and navigating processes that are primarily manual, outdated, or text-based.  \nStrategic Communicators: Improving the clarity, consistency, and impact of communications between government stakeholders operating across a wide domain of topics .  \nThe Commonwealth is grateful to Carnegie Mellon University’s Block Center for Technology and Society for their consultative support and expertise throughout the pilot engagement  \n2  \nFIN DINGS  \n01  \nTop 5 Findings  \nMost employees described their experience using ChatGPT at work as “very positive.”  \nUsers estimated saving 95 minutes per day with ChatGPT.  \nChatGPT is not a substitute for the nuance and experience employees bring to their work.  \nThere was no singular profile of successful ChatGPT user, a range of employees found both  challenges and opportunities with adopting ChatGPT.  \nThe most frequent uses of ChatGPT enabled employees to drive impact amid common government challenges.  \n02  \n03  \n04  \n05  \n3  \nContents  \nOverview 5  \nFindings 13  \nUse Cases 15  \nUser Experience 28  \nUser Types 36  \nChallenges 39  \nBarriers to Use 42 Next Steps 49  \n4  \nOverview  \nOVERVIEW  \nBackground  \nIn September 2023, Governor Shapiro signed Executive Order EO 2023-19 –Expanding and Governing the Use of Generative Artificial Intelligence Technologies Within the Commonwealth of Pennsylvania. This executive order laid the foundation for the Commonwealth to proactively explore Generative AI tools through targeted programs such asthe Commonwealth’s pilot with OpenAI.  \nCopyright © 2025 by the Commonwealth of Pennsylvania. All Rights Reserved. This presentation cannot be shared, reproduced, or modified without express written permission  \n6  \nOVERVIEW  \nEO 2023-19 – Expanding and Governing the Use of Generative Artificial Intelligence Technologies Within the Commonwealth of Pennsylvania  \n“Agencies shall weighthe design, development, procurement, and deployment of Generative AI technology based on the following core values. The Office of Administration (OA) shall proactively consider these core values in all its activities, policies, and processes that leverage or intersect with technolo","cbCaieRwzmILLOum","https://ap.wps.com/l/cbCaieRwzmILLOum","pdf",1266120,1,56,"English","en",105,"# Overview\n## Background\n## Pilot Scope\n## Timeline\n# Findings\n## Top 5 Findings\n# Use Cases\n# User Experience\n## User Types\n## Challenges\n## Barriers to Use\n# Next Steps","[{\"question\":\"How many employees participated and how many provided direct feedback?\",\"answer\":\"More than 175 employees accessed ChatGPT Enterprise during the pilot, and 136 provided direct feedback to the Commonwealth about their experience.\"},{\"question\":\"What proportion of participants had never used ChatGPT before the pilot?\",\"answer\":\"48% of participants had never used ChatGPT prior to the program.\"},{\"question\":\"What were the most common drivers of successful adoption?\",\"answer\":\"Success depended on employees’ ability to navigate adoption challenges including inaccuracy, habit formation risk, limited learning time, the learning curve, and data and privacy concerns.\"}]","Lessons from Pennsylvania’s Generative AI Pilot with ChatGPT - 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