Artificial Intelligence and Machine Learning
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It's become easier to create lifelike AI avatars of people who have passed away.
Forget the Catastrophic Forgetting
Researchers are working to counteract catastrophic forgetting by AI systems when they are trained for new tasks.
Resolving the Human-Subjects Status of ML’s Crowdworkers
What ethical framework should govern the interaction of ML researchers and crowdworkers?
Can ChatGPT Learn Chinese or Swahili?
Large language models might act differently if trained in different languages.
Building Computing Systems for Embodied Artificial Intelligence
Embodied AI involves embedding artificial intelligence into tangible entities, such as robots, equipping them with the capacity to perceive, learn from, and engage dynamically with their surroundings [1]. This approach facilitates robots in evolving and adapting to environmental changes. A notable instance of this is the Figure AI humanoid, which leverages OpenAI’s cutting-edge technologies. It […]
Who Determines What Is Relevant? Humans or AI? Why Not Both?
Current understanding is not sufficient to let LLMs perform relevance judgments without human intervention.
Generative AI and CS Education
Increased knowledge sharing is helping CS educators and researchers accelerate change in computing education.
First Impressions: Designing Social Actions for Positive Social Change with Bard
AI promises many things, some fairly reasonable, some too good to be true, and some flat-out apocalyptic.
Governments Setting Limits on AI
Many countries and regions are considering, or trying to implement, regulations on the training and use of artificial intelligence.
Will generative artificial intelligence accelerate the growth of made-for-advertising sites?
Edge AI Devices Eye Lifetime Learning
Helping artificial intelligence to adapt and learn, now and later.
Thoughts on AI Interoperability
While the core transport protocols of the Internet are binary in character, one could imagine a more text-oriented exchange protocol for inter-ML systems.
How Generative AI Fits into Knowledge Work
Seeking to influence how generative artificial intelligence affects various professions.
The Science of Detecting LLM-Generated Text
A technical introduction to LLM-generated text detection methods.
How to Navigate Generative AI within the Regulatory Frameworks of Banking and Finance
Navigating Generative AI within the regulatory frameworks of banking and finance requires a multidimensional approach.
Building artificial intelligence into medical devices can speed diagnoses and potentially improve treatments and outcomes.
Despite concerns, autonomous AI weapons and defense systems for military applications are on the rise.
U.S. Copyright Office’s Questions about Generative AI
Generating more questions than answers.
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without sacrificing the benefits it entails.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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