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ChatGPT in Healthcare Could Be a Huge Liability
From ACM Opinion

ChatGPT in Healthcare Could Be a Huge Liability

ChatGPT could have dangerous implications for the field if it is not used with the proper context.

The Researcher Who Would Teach Machines to Be Fair
From ACM Opinion

The Researcher Who Would Teach Machines to Be Fair

Princeton computer scientist Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.

Academic Publishers Are Missing the Point on ChatGPT
From ACM Opinion

Academic Publishers Are Missing the Point on ChatGPT

Publishers that seize the opportunity to build on these tools to serve their international communities can engage with audiences that were previously inaccessible...

Will AI Help Us to Work Less?
From ACM Opinion

Will AI Help Us to Work Less?

The idea that tech will free us from drudgery is an attractive narrative, but history tells a different story.

AI Expert Weighs In on the Rise of Chatbots
From ACM Opinion

AI Expert Weighs In on the Rise of Chatbots

Products like ChatGPT will never be truly ready to go unless we have a working AI technology that supports continuous life-long learning.

Cyber Efficiency and Cyber Resilience
From Communications of the ACM

Cyber Efficiency and Cyber Resilience

Complementary objectives competing for the same resources.

Where Is the Research on Cryptographic Transition and Agility?
From Communications of the ACM

Where Is the Research on Cryptographic Transition and Agility?

Gaps facing the industry as quantum safe algorithms move closer to standardization.

All Sliders to the Right
From Communications of the ACM

All Sliders to the Right

Hardware overkill.

Contracting for Artificial Intelligence
From Communications of the ACM

Contracting for Artificial Intelligence

Considering the promises and perils of contracting for the use of artificial intelligence tools and data.

GPT-4 Is Not Perfect, but Neither Are You
From ACM Opinion

GPT-4 Is Not Perfect, but Neither Are You

An interview with OpenAI's Greg Brockman.

Do We Need a National Algorithms Safety Board?
From ACM Opinion

Do We Need a National Algorithms Safety Board?

Perfectly safe algorithmic systems are not possible, but safer systems are.

Medical AI Is as Much Social as It Is Technological
From ACM Opinion

Medical AI Is as Much Social as It Is Technological

Medical AI applications need to overcome transparency and trust issues.

Large Language Models Will Change Programming…a Little
From ACM Opinion

Large Language Models Will Change Programming…a Little

Hype has been a primary driver of the excitement around LLMs.

Metrics for Success
From Communications of the ACM

Metrics for Success: Why and How to Evaluate Privacy Choice Usability

Assessing the usability of choice and consent mechanisms.

A Map for Innovation
From Communications of the ACM

A Map for Innovation

Innovation is less elusive with the right navigational map.

With AI, We Are Reliving the Start of the Smartphone Era
From ACM Opinion

With AI, We Are Reliving the Start of the Smartphone Era

We often judge the utility of a new technology on how well it deals with the problems of older ones.

Who Is Liable when AI Kills?
From ACM Opinion

Who Is Liable when AI Kills?

We need to change rules and institutions while still promoting innovation to protect people from faulty artificial intelligence.

Why You Should Not Trust AI Search Engines
From ACM Opinion

Why You Should Not Trust AI Search Engines

The technology is simply not ready to be used like this at this scale.

ChatGPT Can Improve Education, not Threaten It
From ACM Opinion

ChatGPT Can Improve Education, not Threaten It

A professor explains why he is allowing students to incorporate ChatGPT into their writing process instead of banning it.

Machines Learn Better if We Teach Them the Basics
From ACM Opinion

Machines Learn Better if We Teach Them the Basics

A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.
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