Topic: Automation + AI
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Guide to robotic process automation
The Guide to Robotic Process Automation, including the RPA Playbook provides detailed guidance for federal agencies starting a new RPA program or evolving an existing one.
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Introduction to AI with a focus on Counter Fraud
Raising awareness to counter fraud professionals of AI and potential uses in the detection and prevention of fraud.
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Guidance for Inclusive AI
This resource helps individuals with aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
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Emerging Legal and Policy Trends in State and Federal AI Governance at BenCon 2024
BenCon 2024 explored state and federal AI governance, highlighting the rapid increase in AI-related legislation and executive orders. Panelists emphasized the importance of experimentation, learning, and collaboration between government levels, teams, agencies, and external partners.
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All Things Artificial Intelligence
This session from FormFest 2024 walked attendees through some of the major changes AI is bringing to form design. Learn about the National Head Start Association’s use of AI to reduce administrative burden and the Canadian Digital Service’s tips for protecting government applications systems from AI.
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OMB M-24-18 Advancing the Responsible Acquisition of Artificial Intelligence in Government
Executed on September 24, 2024, a memorandum for the heads of executive departments and agencies on advancing the responsible acquisition of artificial intelligence in government.
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To AI or Not To AI: A Practice Guide for Public Agencies to Decide Whether to Proceed with Artificial Intelligence
This guide helps public agencies assess whether to use AI by providing a structured framework to evaluate appropriateness, risks, and alternatives.
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FormFest 2024 Recap: All Things Artificial Intelligence
An event recap from one of FormFest 2024's breakout sessions featuring speakers from the Canadian Digital Service and the National Head Start Association.
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How to make your content AI‑readable
Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
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Algorithmic Transparency Recording Standard Hub
This hub introduces the UK government's Algorithmic Transparency Recording Standard (ATRS), a structured framework for public sector bodies to disclose how they use algorithmic tools in decision-making.
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Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
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Large Language Models (LLMs): An Explainer
In this blog post, CSET’s Natural Language Processing (NLP) Engineer, James Dunham, helps explain LLMs in plain English.