Communications of the ACM
Refine your search:
Where is the Cradle of the Computer?
The digital computer of today arose in the first half of the 1940s independently in three different countries: Germany, the U…
From BLOG@CACM
Misnomer and Malgorithm
The algorithm should be respected; the malgorithm should be rejected.
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...
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...
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.
From BLOG@CACM
Things To Do To An Algorithm
What happens when people's fate hangs on machine 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.
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...
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.
From BLOG@CACM
AI Began in 1912
Artificial intelligence began in 1912, with the world's first chess automaton built by Torres Quevedo.
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...
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...
From BLOG@CACM
The Artificialistic Fallacy
Ethics discussions of artificial intelligence reveal a fallacy of omission.
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.
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.
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...
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.
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.
From BLOG@CACM
Validating Beneficial AI
The foundational work of the first AI for Good Summit allows the AI community to work together to create an infrastructure for responsible communication, development...
From BLOG@CACM