Location: United States
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Information Technology Executive (Senior Business Analyst)
The Governor's Office of Administration is seeking an informational technology executive 2 to join our growing and innovative Commonwealth Office of Digital Experience PA team! This position is responsible for providing strategic business analysis services to the CODE PA Office. This position collaborates with stakeholders to better understand and document the capabilities needed to address challenges in the meeting the Commonwealth digital experience objectives. If this sounds like the job for you, apply today!
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Information Technology Executive (Enterprise Architect)
Are you experienced in design, development, and configuration of systems? The Governor's Office of Administration is seeking Informational Technology Executive 3 to join our team in the Digital Experience PA team. This is your chance to work with a wide range of technologies supporting the commonwealth digital experience objectives. Apply today!
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Digital Director (Content Director)
The Governor's Office of Administration is seeking a digital director 2 to join our growing and innovative Commonwealth Office of Digital Experience PA team! This is your chance to work with a wide range of technologies for an organization that works for the common good of Pennsylvanians. If you are detail-oriented, have excellent communication skills, and want a career serving the public, we want to talk to you!
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NIST AI Risk Management Framework (RMF 1.0)
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
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ITEM 10: How a Small Legal Aid Team Took on Algorithmic Black Boxing at Their State’s Employment Agency (And Won)
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
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Government By Algorithm: Artificial Intelligence In Federal Administrative Agencies
Little is known about how agencies are currently using AI systems, and little attention has been devoted to how agencies acquire such tools or oversee their use.
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Defining and Demystifying Automated Decision Systems
Automated decision systems (ADS) are increasingly used in government decision-making but lack clear definitions, oversight, and accountability mechanisms.
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Combatting Identity Fraud in Government Benefits Programs
This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
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Child Care and Development Fund Equity Assessment Toolkit
This toolkit provides resources for training and technical assistance (T/TA) providers in the Child Care Technical Assistance Network (CCTAN) to help State, Territory, and Tribal CCDF Lead Agencies be prepared to conduct equity assessments.
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Challenging the Use of Algorithm-driven Decision-making in Benefits Determinations Affecting People with Disabilities
This report analyzes lawsuits that have been filed within the past 10 years arising from the use of algorithm-driven systems to assess people’s eligibility for, or the distribution of, public benefits. It identifies key insights from the various cases into what went wrong and analyzes the legal arguments that plaintiffs have used to challenge those systems in court.
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Blueprint for an AI Bill of Rights
The White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. These principles help provide guidance whenever automated systems can meaningfully impact the public’s rights, opportunities, or access to critical needs.
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Algorithmic Accountability: A Primer
The primer–originally prepared for the Progressive Congressional Caucus’ Tech Algorithm Briefing–explores the trade-offs and debates about algorithms and accountability across several key ethical dimensions, including fairness and bias; opacity and transparency; and lack of standards for auditing.