The most popular explainable AI (XAI) approaches offer no guarantees of rigor.
Artificial Intelligence and Machine Learning
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New Computer Evaluation Metrics for a Changing World
Computing systems should now be measured on how they leverage available power and on their carbon footprint.
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond
Co-pilot is a useful metaphor for describing how AI technology is intended to act in relation to human users.
How to Think About Remedies in the Generative AI Copyright Cases
Lawsuits charging developers of generative AI technologies with copyright-related violations are likely to influence legislation about generative AI copyright issues.
The Energy Footprint of Humans and Large Language Models
Each time someone interacts with a large language model (LLM), there is an energy cost in running the model for inference. In addition, there is an energy cost in the preparation and training of the model before it was brought to production. It is relatively easy to look at these costs in terms of kilowatt-hours […]
Is Computing a Discipline in Crisis?
One of our professional societies should act as convenor and moderator for a community-wide conversation about the future of AI.
LLM Hallucinations: A Bug or A Feature?
Researchers are taking a multitude of approaches to deal with AI hallucinations.
Shaping the Outlook for the Autonomy Economy
Shaoshan Liu examines the role of autonomous machine computing in fostering the autonomy economy.
The Human-or-Machine Issue: Turing-Inspired Reflections on an Everyday Matter
Determining whether we're interacting with a machine or with another human is likely to become a central question in our everyday lives.
Following his parents’ advice on a field of study put Avi Wigderson on a path that has led him to the ACM A.M. Turing Award.
Shor's algorithm remains a critical stimulus for the development of quantum computing.
LLMs’ Data-Control Path Insecurity
We need to think carefully about using LLMs in potentially adversarial situations . . . like on the Internet.
The Problem with the Trolley Problem and the Need for Systems Thinking
Routes toward more deliberation in technology development.
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice
Shaping the future of artificial intelligence.
Computer Vision, ML, and AI in the Study of Fine Art
Immense challenges and opportunities remain for the application of AI in the study of fine-art paintings and drawings.
A Brief History of Embodied Artificial Intelligence, and its Outlook
Examining the history, current state, and future of Embodied Artificial Intelligence.
Computing Education in the Era of Generative AI
Computing educators and students face challenges and opportunities in adapting to LLMs capable of generating accurate source code from natural-language problem descriptions.
In this short sci-fi story, an egg-sized, flying droid makes an apartment dweller’s life miserable.
How can the interference of artificial intelligence be limited or eliminated in the 2024 U.S. elections?
The Value of Data in Embodied Artificial Intelligence
Addressing the expensive and challenging endeavor of gathering EAI data.
Scientific Applications of Generative AI
What does generative artificial intelligence have to offer science?
Perspectives on AI from Around the Globe
International experts highlight universal trends and local nuances on the state of Artificial Intelligence (AI).
New tools aim to disrupt generative AI models to shield creative content from unauthorized usage.
Safety Fears Raised Over Risks of ‘Penetrative AI’
Can we trust artificial intelligence to not endanger us?
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