Communications of the ACM
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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
Articulation of Decision Responsibility
Can we establish a locution for the results of a program that does not ascribe decision-making power?
From BLOG@CACM
Did We Just Replace the 'Knowledge Bottleneck' With a 'Data Bottleneck'?
In practice, it seems that avoiding the knowledge acquisition bottleneck has not resulted in any net gain.
From BLOG@CACM
Let's Not Forget the 'Science' in 'Computer Science'
There is a growing trend to treat very difficult problems in computer science as purely engineering problems where solutions are approximated using data-driven...
From BLOG@CACM
The Birthplace of Artificial Intelligence?
Was the 1951 Paris conference "Les machines à calculer et la pensée humaine" the birthplace of Artificial Intelligence?
From BLOG@CACM
Will Machine Learning Prevent S From Achieving the Goals of Teaching Computing to Everyone?
At TURC, ACM leaders consider the future of AI, and I ask about the implications for computing education
From BLOG@CACM
Alphago Is Not the Solution to AI
Some of the discussion around this seems like giddy overstatement.
From BLOG@CACM
The Future of Work: But What Will Humans Do?
Weighing in on the most consequential changes anticipated in the workplace.
From BLOG@CACM
SF Reading For Computer Scientists: Summer 2015
Summer reading recommendations for computer scientists, courtesy of the SIGCSE 2015 Using Science Fiction in CS Courses BOF.
From BLOG@CACM
Meet A.I. Joe
In the 70 years since the end of World War II, AI has advanced enormously, and the military has continued to show a steady appetite for acquiring lethal robots....
From BLOG@CACM
Socializing with Robots at Ginza
Modern social robots are making their debut in our daily lives.
From BLOG@CACM