Culture, Language, and Generative Language Models
Human users are prone to believe that a generative language model is erudite and intelligent, conflating linguistic competence with other human characteristics.
Culture, Language, and Generative Language Models
Human users are prone to believe that a generative language model is erudite and intelligent, conflating linguistic competence with other human characteristics.
Recent research holds some clues as to which jobs are being affected by AI and shows signs of how that is playing out in the jobs markets.
Does Using In-Copyright Works as Training Data Infringe?
A common complaint is that developers infringe by using in-copyright materials as training data for the foundation models that power their AI systems.
“We owe it to an increasingly digitally dependent society to make its digital infrastructure as resilient, reliable, and safe as possible.”
The special section offers a snapshot of the region’s momentum, featuring a diverse set of contributions that blend technical rigor with societal impact.
As Good as a Coin Toss: Human Detection of AI-Generated Content
There’s a critical need for alternative countermeasures to more effectively combat the potential and realized harms arising from synthetic media misuse.
A historical perspective on tackling new cyber challenges and securing the future of the computing infrastructure.
Can AI Help Build Cities Better?
Planners hope that the right balance of automation and human accountability will contribute to more livable and sustainable urban environments.
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 InvolvedBy 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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