ΑΙhub.org
2021 AI Index Report published
The 2021 AI Index Report has been published. Compiled by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), it tracks, summarises and visualises data relating to artificial intelligence.
The aim of the report is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.
The report comprises seven chapters covering the following topics:
- Research and development
- Technical performance
- The economy
- AI education
- Ethical challenges of AI applications
- Diversity in AI
- AI policy and national strategies
Find out more about the report here.
You can access the full pdf version here.
You can also read past editions of the report:
2019 AI Index Report
2018 AI Index Report
2017 AI Index Report
Lucy Smith
is Senior Managing Editor for AIhub.
Lucy Smith
is Senior Managing Editor for AIhub.
AIhub is supported by:
Related posts :
The Good Robot podcast: art, technology and justice with Yasmine Boudiaf
In this episode, Eleanor and Kerry chat to Yasmine Boudiaf, a researcher, artist and creative technologist who uses technology in beautiful and interesting ways to challenge and redefine what we think of as 'good'.
27 November 2024, by
The Good Robot Podcast
AI in cancer research & care: perspectives of three KU Leuven institutes
This story is a collaboration of three Institutes that are working at the intersection of cell research, cancer research and care, and artificial intelligence.
Meta now allows military agencies to access its AI software. It poses a moral dilemma for everybody who uses it
Meta will make its generative artificial intelligence (AI) models available to the United States’ government.
25 November 2024, by
The Conversation
The Turing Lectures: Can we trust AI? – with Abeba Birhane
Abeba covers biases in data, the downstream impact on AI systems and our daily lives, how researchers are tackling the problem, and more.
21 November 2024, by
Lucy Smith
Dynamic faceted search: from haystack to highlight
The authors develop and compare three distinct methods for dynamic facet generation (DFG).
Identification of hazardous areas for priority landmine clearance: AI for humanitarian mine action
In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool to identify hazardous clusters of landmines.
19 November 2024, by
ML@CMU