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BLOG@CACM



Language Imitation Games and the Arrival of Broad and Shallow AI
From BLOG@CACM

Language Imitation Games and the Arrival of Broad and Shallow AI

On the impact of large language models.

Safe Space for Alt-Views
From BLOG@CACM

Safe Space for Alt-Views

Not everyone who questions computational hegemony is appealing to magic, mysticism, or divinity.

We Are Camille
From BLOG@CACM

We Are Camille

Who is Camille Noûs, who has contributed to hundreds of papers on Google Scholar?

Misnomer and Malgorithm
From BLOG@CACM

Misnomer and Malgorithm

The algorithm should be respected; the malgorithm should be rejected.

AI or Intelligence Augmentation for Education?
From BLOG@CACM

AI or Intelligence Augmentation for Education?

Applications of artificial intelligence to education are spreading and intensifying, but we have the acronym backwards. Building ethical, equitable applications...

Auditing AI and Autonomous Systems; Building an Infrastructure of Trust
From BLOG@CACM

Auditing AI and Autonomous Systems; Building an Infrastructure of Trust

How do we build trust? How can we systematically assure trust in our systems? How would auditing AI and autonomous systems contribute to this goal? Explaining...

Time to Assess National AI Policies
From BLOG@CACM

Time to Assess National AI Policies

The Center for AI and Digital Policy has undertaken the first comparative review of national artificial intelligence policies.

Things To Do To An Algorithm
From BLOG@CACM

Things To Do To An Algorithm

What happens when people's fate hangs on machine learning?

Automatic Translators are Not Really Capable of Learning
From BLOG@CACM

Automatic Translators are Not Really Capable of Learning

One does not get the impression the Google Translate and DeepL translation programs are self-learning and have made real progress.

The Rise of the Data Engineer
From BLOG@CACM

The Rise of the Data Engineer

The combination of AI and cloud infrastructure is changing the roles of certain engineers and creating a new requirement that demands an entirely new engineering...

How Do We Make AI More Ethical?
From BLOG@CACM

How Do We Make AI More Ethical?

Scientists consider the limits of ethics in the realm of artificial intelligence, and how to mitigate its biases.

AI Began in 1912
From BLOG@CACM

AI Began in 1912

Artificial intelligence began in 1912, with the world's first chess automaton built by Torres Quevedo.

AI is to Medicine Today What the X-ray was to Medicine a Century Ago, and Much More…
From BLOG@CACM

AI is to Medicine Today What the X-ray was to Medicine a Century Ago, and Much More…

Guest blogger Jiajie Zhang says the continuing evolution of medical artificial intelligence will produce increasingly advanced applications to improve patient care...

Is the Trolley Problem ­Useful for Studying Autonomous Vehicles?
From BLOG@CACM

Is the Trolley Problem ­Useful for Studying Autonomous Vehicles?

Does the trolley problem offer any useful insights for autonomous vehicles, in terms of design of or public policy around these systems? Here are several reasons...

The Artificialistic Fallacy
From BLOG@CACM

The Artificialistic Fallacy

Ethics discussions of artificial intelligence reveal a fallacy of omission.

Governance and Oversight Coming to AI and Automation: Independent Audit of AI Systems
From BLOG@CACM

Governance and Oversight Coming to AI and Automation: Independent Audit of AI Systems

Independent Audit of AI Systems is the next evolution of governance for artificial intelligence and automation.

Scalable Intelligent Systems by 2025
From BLOG@CACM

Scalable Intelligent Systems by 2025

People are fundamental to a Scalable Intelligent System; there is no computer-only solution that can implement such a system.

NL­ Is Not NLP++
From BLOG@CACM

NL­ Is Not NLP++

This is a plea to the technical community working in the domain of natural language processing and natural language understanding to appreciate the difference between...

How Did People Write Machine Learning Code in the Past?
From BLOG@CACM

How Did People Write Machine Learning Code in the Past?

Summarizes popular programming languages and libraries that have been used for machine learning throughout the past two decades.

Irrational Exuberance and the 'FATE' of Technology
From BLOG@CACM

Irrational Exuberance and the 'FATE' of Technology

Questions of verification, safety, and trust must be central when we embody intelligence in physical systems.
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