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For this report, we rely on the strongest cross-country measure available today, and we expect to complement it over time with additional indicators as they emerge and mature. Sectorally, the quarter saw strengthened AI coding capabilities leading to a dramatic increase in production of software code.
AI is assistants, etc. It spans across many sectors, from medicine to transportation, and across decades, since the term was introduced in the 1950s.
The Generative AI Market is a strategy report from Berg Insight analysing the latest developments and trends in the generative AI market. This strategic research report from Berg Insight provides you with 90 pages of unique business intelligence including 5-year industry forecasts and expert commentary on which to base your business decisions.
The Washington State Generative Artificial Intelligence (GenAI) Report outlines a strategic roadmap for the adoption and integration of GenAI technologies ...
GAO selected 12 agencies that publicly reported having generative AI use cases in 2023 or 2024. GAO reviewed AI use case inventories submitted ...
Preliminary Findings from AI Implementation Research from Project NANDA. Reviewers: Pradyumna Chari, Project NANDA. Research Period: January – June 2025.
The studies and articles emphasized the potential for AI to substitute for human cognitive effort, just as machines substituted for physical labor during ...
Artificial Intelligence (AI) AI has shown significant promise in various application areas, including robotics, game playing, drones, self-driving cars, and ...
Artificial Intelligence (AI) is a suite of technologies capable of learning, reasoning, adapting, and performing tasks in ways inspired by the human mind.
Artificial Intelligence (AI) is a broad-based tool that enables individuals to rethink how information is integrated, analyses data and uses the results to ...
Review impacts of Generative AI systems on research, including ethical, compliance, and integrity issues.
Purpose These principles for the use of artificial intelligence (AI) in impact assessment (IA) are intended to (i) inform all those engaged in all aspects of impact assessment (e.g., developing, conduct-ing, reviewing, commenting, monitoring and evaluating, training and teaching, etc.) and (ii) serve as guardrails in the ethical and responsible use of AI technology. Because of the rapidly ...
Abstract Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, from energy distribution to marketing, but it also raises concerns about undesirable ethical and social consequences. AI impact assessments (AI-IAs) are a way of identifying positive and negative impacts early on to safeguard AI’s benefits and avoid its downsides. This ...
