Fearing the Wrong Thing
The only thing to fear is failing to make the transition to AI-assisted programming
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
The only thing to fear is failing to make the transition to AI-assisted programming
Services like ChatGPT may be the future, but they also bring risks.
Blockchains make data for AI trustworthy
Lessons for AI Governance from Corporate Governance
Or, Why AI Regulations Should Begin with Mandated Disclosures
Plugins can make ChatGPT more reliable, but you still have to be careful.
How do you know that ChatGPT isn’t lying?
What hath Microsoft and Google wrought?
Do AI hallucinations foreshadow artificial creativity?
Not much.
Why are we talking about AGI when we can’t define “intelligence” adequately?
Models like DALL-E dissociate ideation from implementation. Do we care?
We need to be talking about access
What does it mean to say a computer model “understands”?
Do’s and Don'ts when Designing for the Community
Where user-centric computing goes wrong
Labeling training data is the one step in the data pipeline that has resisted automation. It’s time to change that.
How do we build devices that are shared by default?
What happens when deepfakes become cheap?