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Check out the latest reports and publications from the AI for Good community.

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24 results
Report
Crowdsourcing AI and Machine Learning solutions for SDGs – ITU AI/ML Challenges 2024 Report

The ITU Artificial Intelligence and Machine Learning (AI/ML) Challenges are competitions where anyone can participate to solve problem statements to advance the achievement of Sustainable Development Goals (SDGs) using AI/ML. The competitions enable participants to connect with new partners – and new tools and data resources – to achieve goals set out by problem statements contributed by industry and academia.

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Report
AI and the Environment -International Standards for AI and the Environment

International standards provide the guidelines and benchmarks needed to measure and improve the environmental impact of AI. Codifying established best practices, standards help mitigate risks such as high energy consumption and lifecycle emissions. They also provide measurement methodologies to assess GHG emissions and energy consumption, and thereby identify the actions needed to improve. This report explores the environmental implications of AI and presents a summary of relevant standards available and under development.

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Report
AI Ready – Analysis Towards a Standardized Readiness Framework Version 1.0

This report provides an analysis of the Artificial Intelligence (AI) Readiness study aimed at developing a framework for assessing AI Readiness which indicates the ability to reap the benefits of AI integration. The analysis of characteristics of use cases led us to the main AI readiness factors including: 1) Availability of open data. 2) Access to Research. 3) Deployment capability along with Infrastructure. 4). Stakeholders buy-in enabled by Standards – trust, interoperability, security. 5) Developer Ecosystem created via Opensource. 6) Data collection and model validation via Sandbox pilot experimental setups.

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Report
Detecting deepfakes and generative AI: Report on standards for AI watermarking and multimedia authenticity workshop

Experts predict that 90 per cent of online content will be generated by AI by 2025. How can we identify whether content was human-generated, AI-generated, or some combination? The problem of AI-generated media and deepfakes is not only technical but also ethical and social. An AI for Good Global Summit workshop brought together technology and media companies, artists, international organizations, standards bodies, and academia, to discuss the security risks and challenges of deepfakes and generative artificial intelligence (AI), technological innovations, and areas where standards are needed.

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