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U.S. Copyright Office's Questions about Generative AI
From Communications of the ACM

U.S. Copyright Office's Questions about Generative AI

Generating more questions than answers.

Can Machines Be in Language?
From Communications of the ACM

Can Machines Be in Language?

Large language models brought language to machines. Machines are not up to the challenge.

Generative AI Degrades Online Communities
From Communications of the ACM

Generative AI Degrades Online Communities

How large language models are influencing online communities.

How the AI Boom Went Bust
From Communications of the ACM

How the AI Boom Went Bust

Fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s.

Toward a Solid Acceptance of the Decentralized Web of Personal Data: Societal and Technological Convergence
From Communications of the ACM

Toward a Solid Acceptance of the Decentralized Web of Personal Data: Societal and Technological Convergence

Giving individuals more control of their personal data.

NVIDIA at the Center of the Generative AI Ecosystem – For Now
From Communications of the ACM

NVIDIA at the Center of the Generative AI Ecosystem – For Now

Assessing the ascent of NVIDIA.

Ulterior Motives
From Communications of the ACM

Ulterior Motives

2023-2024 ACM Athena Lecturer Margo Seltzer recalls the motivations behind the development of the Berkeley DB database software library, and other achievements...

Thus Spake ChatGPT
From Communications of the ACM

Thus Spake ChatGPT

On the reliability of AI-based chatbots for science communication.

Why Is the Current XAI Not Meeting the Expectations?
From Communications of the ACM

Why Is the Current XAI Not Meeting the Expectations?

Seeking better explanations for how algorithmic decisions are made.

There Was No 'First AI Winter'
From Communications of the ACM

There Was No 'First AI Winter'

Despite challenges and failures, the artificial intelligence community grew steadily during the 1970s.
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