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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.

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.

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.

The Infrapolitics of Algorithmic Resistance
From Communications of the ACM

The Infrapolitics of Algorithmic Resistance

Exploring the complex interactions between humans and machines governed by algorithms.

Machine Learning Sensors
From Communications of the ACM

Machine Learning Sensors

A design paradigm for the future of intelligent sensors.

Legal Challenges to Generative AI, Part II
From Communications of the ACM

Legal Challenges to Generative AI, Part II

Deliberating on inconclusive AI-generated policy questions.

How Software Stifles Competition and Innovation
From Communications of the ACM

How Software Stifles Competition and Innovation

Factoring the slowing up of startups.

Generative AI as a New Innovation Platform
From Communications of the ACM

Generative AI as a New Innovation Platform

Considering the stability and longevity of a potential new foundational technology.

Closing Our Digital Divides
From Communications of the ACM

Closing Our Digital Divides

Seeking a more efficient path to improved broadband Internet access.

Dilemma of the Artificial Intelligence Regulatory Landscape
From Communications of the ACM

Dilemma of the Artificial Intelligence Regulatory Landscape

Navigating the complex and varying AI regulatory landscape.

For a More Transparent Governance of Open Source
From Communications of the ACM

For a More Transparent Governance of Open Source

Seeking the best governance models for FOSS projects.

Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency
From Communications of the ACM

Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency

Increasing opportunities for access to traditional financial systems.

Fragility in AIs Using Artificial Neural Networks
From Communications of the ACM

Fragility in AIs Using Artificial Neural Networks

Suggesting ways to reduce fragility in AI systems that include artificial neural networks.

Can Generative AI Bots Be Trusted?
From Communications of the ACM

Can Generative AI Bots Be Trusted?

It will be a long road to learning how to use generative AI wisely.
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