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.
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.
“We owe it to an increasingly digitally dependent society to make its digital infrastructure as resilient, reliable, and safe as possible.”
Scientists are using machine learning techniques such as classifiers to identify units of language and hope deep neural networks will help them figure out what animals might be talking about.
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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.
Restoring Reliability in the AI-Aided Software Development Life Cycle
Generative AI has shifted the measure of producing code from engineering time to trust, or confidence that a system will meet its service-level objective in real-world operation.
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