Fearing the Wrong Thing
The only thing to fear is failing to make the transition to AI-assisted programming
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
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.
To prevent long-term harms, build systems that address current issues of justice and fairness.
Writing Prompts Isn’t As Simple As It Looks
Defining AI Bias Depends on Your Perspective
Opportunities, Costs, and Risks for Large Language Models
How do you know that ChatGPT isn’t lying?
What hath Microsoft and Google wrought?
Do AI hallucinations foreshadow artificial creativity?
Software is hungry. Feed it.
Hyperautomation may only be a buzzword, but automating business systems with AI is an important trend.
How might Copilot’s descendants change the craft of programming?
And is artificial general intelligence what we really need?
What does it mean to say a computer model “understands”?
Here are some predictions for tech in 2022.
Machine Learning’s deployment stack is maturing