[{"_1":2,"_99":-5,"_100":-5},"loaderData",{"_3":4,"_26":27},"root",{"_5":6,"_17":10,"_18":19,"_20":21,"_22":10,"_23":-5,"_24":-5,"_25":10},"user",{"_7":8,"_9":10,"_11":10,"_12":-5,"_13":-5,"_14":15,"_16":-5},"roles",[],"isAuthenticated",false,"isPremium","planName","subscriptionStatus","featureFlags",{},"insightsBudget","isDevelopmentHost","userPreferences",{},"recaptchaSiteKey","6LcvOJcUAAAAAHsB-gPGfGktcRlKpH7OTIU_dMTD","isImpersonating","impersonation","affiliateStatus","isFreedomPortal","routes/v2/article/layout",{"_28":29,"_30":31},"notFound",true,"relatedArticles",[32,75,87],{"_33":34,"_35":36,"_37":38,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58,"_59":60,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":68,"_72":73,"_74":73},"mediaId",6387908,"mediaKeyId","2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e","parentId",2115467,"title","San Diego County CIO outlines IT contract, governance and innovation program ahead of AI procurement decisions","audioSeconds",3247,"startMs",2924000,"endMs",6171000,"viewUrl","/Search/View?dp=1&key=2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e&start=2924&end=6171","thumbnailUrl","https://assets.pipeline.soar.com/2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e/thumbnail_2924000.jpg","articleUrl","/articles/6387908/San-Diego-County/California/San-Diego-County-CIO-outlines-IT-contract-governance-and-innovation-program-ahead-of-AI-procurement-decisions","mediaUrl","https://secure.pipeline.soar.com/6387908-dd4531a54c1d38679a5d29463158299d/orig.mp4?Expires=1771198704&Signature=EKi5tKEIYpEuMA6FEZHiYcjxYfqzZz-pLHvWuu0ZHJC6NnBFjgGax0-cLoeuB0XisiPNXCC1VzXBqf7OyJgvlFns09uebLKBIbVdB0EwwI2fmLHyIhN0PoKudx2pYI1eH9v3lUEAS~FLzX0I8CSsNiinX8M5Klfj9jfWkMYayJ7V~seUkhoA3bbqmpOi-2AAyFQQKq7YIe7aeptO69dxDReXM1pRPKez~766d7OmkWFPFl0qN3MpilUGEFQZwk6NYfzkxitaJa4uL0eC5UyE1wJrYyrDhsfO8i2J99WVN9EutMDtuZcfaFlCYvsoWwIHTASk~7UcgIDEJdzihUb2ZQ__&Key-Pair-Id=KUT5TJCACFTXG","author","San Diego County CA","date","2025-01-14T00:01:46Z","article","David Smith, San Diego County Chief Information Officer, told the AI Ad Hoc Subcommittee the county's current outsourced IT arrangement (originating in 1999 and later awarded to providers including Northrop Grumman and Hewlett Packard) is structured to support continuous improvement and to incorporate new technologies such as AI.

Smith said the county's current service provider (operating under names including Hewlett Packard and known currently as Peraton Enterprise Solutions LLC) provides six service frameworks that together cover governance, service-desk operations, end-user devices, network services, cloud and data-center work, and application services. He noted the contract defines IT services broadly so future technologies can be integrated without rewriting the baseline scope.

Governance and procurement timeline

Smith described the county's governance structure: the Board of Supervisors sets policy while the IT Management Committee (ITMC), chaired by an assistant chief administrative officer, brings general managers and department leads together with County Counsel and Human Resources to review large IT issues. He said the district attorney and sheriff maintain their own IT but that telephony is still routed through the county platform.

Smith gave budget and scale figures: fiscal-year 2023'1024 IT spend reported at about $212 million and a 2024'1025 projection of about $218 million; roughly 18,000 laptops/PCs and another 18,600 network access points; approximately 8,600 managed mobile devices. He said the current contract term runs through Dec. 31, 2028, with planning, procurement and transition activities expected across 2025'2028: strategy development in 2025, procurements in 2027, and transitions in 2028.

Service features and innovation process

Smith highlighted components intended to support rapid adoption and testing: ServiceNow as an integrated request-and-tracking platform; a \"network-in-a-box\" briefcase solution for rapid field connectivity during incidents; the use of cloud/virtual servers to reduce server-deployment times from months to days; and the Innovation Fund, which Smith said provides proof-of-concept funding governed by an innovation board. Proofs of concept are time-boxed, subject-matter experts are involved in testing, and successful proofs may be productionized through standard procurement if departments fund follow-up.

Smith said the Innovation Fund received dozens of idea submissions, funded multiple proofs of concept and recommended several for production subject to departmental funding. He said projects such as automated transcription for council videos and a Treasury/Tax Collector interactive voice system are in progress. He described a Rover AI pothole/trash-detection proof that moved out of proof-of-concept and is under consideration for procurement but not yet deployed.

Barriers and closing

Smith told the subcommittee the two principal barriers to faster adoption are money and matching expectations to current technical capability. He said the county intends to adopt AI in lower-risk areas first and emphasized continuous improvement and oversight rather than rapid, untested rollouts.

Ending

Smith said county staff will work with the subcommittee and department leads to set strategy for the next contract cycle and to evaluate AI proofs and procurements.","mediaType","Video","parentTitle","1-15-25 County of San Diego AI Ad-Hoc Subcommittee","oneSentenceSummary","CIO David Smith reviewed the county's long-term IT contract model, governance structure, service frameworks and the Innovation Fund process and timeline the county plans to use as it evaluates AI projects and future procurements.","taxTitle","San Diego County, California","taxId",2838,"location","headline","","shortSummary",{"_33":76,"_35":36,"_37":38,"_39":77,"_41":78,"_43":79,"_45":80,"_47":81,"_49":82,"_51":83,"_53":84,"_55":56,"_57":58,"_59":85,"_61":62,"_63":64,"_65":86,"_67":68,"_69":70,"_71":68,"_72":73,"_74":73},6387914,"UC San Diego Labor Center and researchers urge worker-centered AI adoption, flag cases of harm",1752,2433000,4185000,"/Search/View?dp=1&key=2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e&start=2433&end=4185","https://assets.pipeline.soar.com/2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e/thumbnail_2433000.jpg","/articles/6387914/San-Diego-County/California/UC-San-Diego-Labor-Center-and-researchers-urge-worker-centered-AI-adoption-flag-cases-of-harm","https://secure.pipeline.soar.com/6387914-1c02123e317a690f9989533652d6b1c0/orig.mp4?Expires=1771198704&Signature=R583C9WjAejqv7aMOaNKztc3oAqLLM0iri4D4xjw2mvb6YWYw~t6L7q9EpTUA9p~NTLni6gDkutt1LxbR9ZT7Nbhex5z~vbFO~wMAogARoZai8KiYiXT05IRC-CdGuMiEbIhrzJAFEcVz3uMAeO~D0dpHAEIniPismPKRDlJwK8hEo-DsGK7R4M4nBPp6OZ6kgosOk7HKC~2LIR8fj-IGz8Fyav0VIK2NoeHzPXcbONC0ZZ~eVs5XoGh56cKY5-p9GFzddfw1IG3voqHPXPcTpNzmGcNAgDoVTaZHOtzZiAJ~4dBMEiJUBbIeLwGddYChy~tfi68UgZN5F3KLL4cTQ__&Key-Pair-Id=KUT5TJCACFTXG","Satomi Rausch Ziegler, executive director of the UC San Diego Labor Center, and Dr. Lilly Irani, associate professor and faculty director at the labor center, warned the San Diego County AI Ad Hoc Subcommittee that AI implementations can produce operational failures, safety risks and inequitable outcomes unless workers and subject-matter experts are involved from planning through deployment.

The presenters summarized machine-learning basics and described several case studies intended to show both risks and mitigation steps. Their recommendations emphasized transparency from vendors, human oversight, inclusive design involving front-line workers and phased testing.

Key case studies and regional implications

- Hershey's ERP rollout: The presenters said a rapid enterprise resource planning (ERP) deployment resulted in major operational disruptions, a reported drop in sales and a substantial stock decline; the presentation cited roughly $100 million in lost sales and an approximately 18'19 percent decline in key metrics tied to the rushed implementation. Presenters said the failure illustrated the danger of insufficient stakeholder input and training.

- Sepsis detection tool: A health system deployed an AI sepsis-alert system that produced many false positives and did not include nurse override mechanisms; staff had to perform unnecessary interventions and faced potential professional and liability risk. Presenters said this case shows the need for human override and clinician involvement in design and deployment.

- Hotel room scheduling: An algorithm that prioritized elite guests' rooms without worker input forced room attendants to travel between floors with heavy carts, reducing productivity and increasing physical strain.

- Automated background checks: Presenters said automated screening products used by landlords and employers often contain outdated or mismerged records. Because scores are automated and opaque, individuals can be wrongly denied housing or work; presenters cited National Consumer Law Center findings and noted FTC enforcement activity.

- Algorithmic rent pricing: The presenters described algorithmic price-setting tools used by landlords to set rents and noted City of San Diego council attention to related competitive and housing-cost impacts. They said centralized data and automated matching can exacerbate rent increases and homelessness trends; presenters cited a 26 percent rent increase in San Diego over three years as part of the context discussed.

- Data center pollution: Researchers raised environmental and public-health concerns from large data centers that power large-language models and AI services, citing academic estimates of regional public-health costs (a Northern Virginia study estimated $190'$260 million in regional health costs at one data center in a year) and urging consideration of non-carbon pollution reporting and equitable burden sharing.

Recommendations

The presenters urged local governments to: involve workers and subject-matter experts at the outset; define success metrics and test tools in limited pilots before full rollouts; demand data access and transparency from vendors; build human-override mechanisms and accountable governance; and support training and upskilling for employees. They also asked the county to partner on a regional worker survey the UC San Diego Labor Center launched in English, Spanish and Tagalog to gather local workplace experiences with AI.

Ending

The labor center asked the county for help distributing its survey and said the results will guide tailored policy responses for the region.","UC San Diego Labor Center and researchers presented case studies to the San Diego County AI Ad Hoc Subcommittee showing how poorly designed AI deployments can harm workers and residents and recommended worker involvement, transparency and human oversight.",{"_33":88,"_35":36,"_37":38,"_39":89,"_41":90,"_43":91,"_45":92,"_47":93,"_49":94,"_51":95,"_53":96,"_55":56,"_57":58,"_59":97,"_61":62,"_63":64,"_65":98,"_67":68,"_69":70,"_71":68,"_72":73,"_74":73},6387919,"San Jose Gov AI Coalition offers templates, vendor registry and use cases as model for San Diego County",1445,687000,2132000,"/Search/View?dp=1&key=2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e&start=687&end=2132","https://assets.pipeline.soar.com/2115467-8473f9f6a82f0d5a3a5e7e50d0fbde4e/thumbnail_687000.jpg","/articles/6387919/San-Diego-County/California/San-Jose-Gov-AI-Coalition-offers-templates-vendor-registry-and-use-cases-as-model-for-San-Diego-County","https://secure.pipeline.soar.com/6387919-12ff8fd81b2eb93182f090bbb45f4b8e/orig.mp4?Expires=1771198704&Signature=cMyHveM3B34XRZBVkyedUoLUI1Y~z5XOhuwcOpPlVxx47zNiWKM8YWm3T54cDNksThortorL70tkS4DcCxyFWB9pgR3UTQ0m-27y1l7a5Ru2v2eryhVd13cRMe1nGPtuZLK7gZ1BIdW2mt-9XrXKSwmpGCFQiQQ3me9uTRP1EXQ7Ymb4UVuNKMDNI~R06en3SoH6GBVFpKaFAPOsXT5Mw0VAgIZBtyWcwH4ygkCnvtkG66fNUWCf2MvNOxK38RGgAsy2Md4gGe1Yq6eXWY8-8iL~ZHTshqPS6YghU0gK0iUn0QLqInbN6TPtPrS-vDF04GZ67voGNtVyoHPKgS74MA__&Key-Pair-Id=KUT5TJCACFTXG","Jerry Recker, assistant to the city manager for the City of San Jose and a founding member of the Gov AI Coalition, outlined resources and practical use cases the coalition has developed to help local governments explore and deploy artificial intelligence. The presentation was given to the San Diego County Board of Supervisors' AI Ad Hoc Subcommittee; the meeting date is not specified in the transcript.

Recker said the coalition has produced a suite of deliverables intended to help local agencies move from early consideration of AI to testing and deployment. Those materials include governance templates intended for procurement officers and program leads, a vendor registry, a buyers guide, and performance-measurement templates aimed at standardizing what local governments ask of private-sector providers. Recker said the coalition has roughly 1,500 members representing about 500 local, state and federal agencies and that many of the materials are publicly available for download.

San Jose examples and potential county uses

Recker described multiple concrete examples from San Jose that he said could be adapted by counties: public-facing chatbots and voice assistants for information portals; real-time translation displayed at city hall; enhanced meeting transcription and searchable video archives; and enterprise approaches such as sandboxes and centralized data platforms for predictive analytics. He identified a traffic signal optimization project San Jose tested that, he said, produced travel-time reductions \"by up to 20 percent.\" At the group and department level, Recker highlighted department-specific chat assistants and custom GPTs (proprietary chatbots built for a department) intended to speed routine tasks such as preparing procurement scopes or summarizing call data.

Recker also described San Jose's efforts to build workforce capacity: training and upskilling programs, a sandbox environment for employees to try large language models safely, and a partnership with San Jose State University to develop workforce materials and training.

Cautions and implementation guidance

Recker warned that local governments should tailor AI initiatives to organizational level and complexity (public-facing vs. enterprise vs. group-specific tools) and to department-specific needs. He noted that some projects are low-complexity, low-cost uses that can build internal momentum (for example, tools to draft memos), while others are high-complexity, high-cost projects (predictive analytics built on centralized data platforms). Recker said San Jose's proximity to Silicon Valley means the city experiences pressure from private-sector partners and emphasized the value of standardized templates and contract language to set public-sector expectations with vendors.

Recker offered to share the coalition's slide deck and said QR codes on the presentation link to the coalition's public materials. He encouraged San Diego County staff and departments to review the templates and to consider pilot projects at different levels of government.

Ending

Recker closed by inviting subcommittee members to join the Gov AI Coalition workgroups and to request the presentation materials. He said the coalition's resources are intended to be adapted by counties and cities that want to try phased, tested approaches rather than one-time large rollouts.","Jerry Recker of the Gov AI Coalition and the City of San Jose told San Diego County's AI Ad Hoc Subcommittee that the coalition has packaged governance templates, a vendor registry and sector-specific use cases to help local governments adopt AI, and described practical examples San Jose is testing.","actionData","errors"]

Article not found

San Diego County CIO outlines IT contract, governance and innovation program ahead of AI procurement decisions

UC San Diego Labor Center and researchers urge worker-centered AI adoption, flag cases of harm

San Jose Gov AI Coalition offers templates, vendor registry and use cases as model for San Diego County