The Real Problem with Software Development
It’s not writing code, it’s managing complexity
Artificial Intelligence
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
The ChatGPT Surge
Why did searches for ChatGPT decline sharply in June and July?
Real-Real-World Programming with ChatGPT
Taking AI Far Beyond Small Self-Contained Coding Tasks
Teaching Programming in the Age of ChatGPT
How computing instructors plan to adapt to ChatGPT, GitHub Copilot, and other AI coding assistants (ICER 2023 paper)
Fearing the Wrong Thing
The only thing to fear is failing to make the transition to AI-assisted programming
Risk Management for AI Chatbots
Services like ChatGPT may be the future, but they also bring risks.
AI’s Opaque Box Is Actually a Supply Chain
Blockchains make data for AI trustworthy
The Alignment Problem Is Not New
Lessons for AI Governance from Corporate Governance
You Can’t Regulate What You Don’t Understand
Or, Why AI Regulations Should Begin with Mandated Disclosures
ChatGPT, Now with Plugins
Plugins can make ChatGPT more reliable, but you still have to be careful.
Getting the Right Answer from ChatGPT
How do you know that ChatGPT isn’t lying?
Sydney and the Bard
What hath Microsoft and Google wrought?
AI Hallucinations: A Provocation
Do AI hallucinations foreshadow artificial creativity?
What Does Copyright Say about Generative Models?
Not much.
AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When
What We Learned Auditing Sophisticated AI for Bias
The Problem with Intelligence
Why are we talking about AGI when we can’t define “intelligence” adequately?
Artificial Creativity?
Models like DALL-E dissociate ideation from implementation. Do we care?
“Sentience” is the Wrong Question
We need to be talking about access
AI Adoption in the Enterprise 2022
Intelligence and Comprehension
What does it mean to say a computer model “understands”?
A Way Forward with Communal Computing
Do’s and Don'ts when Designing for the Community
Communal Computing’s Many Problems
Where user-centric computing goes wrong
Hand Labeling Considered Harmful
Labeling training data is the one step in the data pipeline that has resisted automation. It’s time to change that.