Preliminary Thoughts on the White House Executive Order on AI
Why the White House should mandate more robust disclosures
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Why the White House should mandate more robust disclosures
What happens when AI is trained on its own output?
It’s about the will to learn
AI can help you learn—but it needs to do a better job
What's next? Quite possibly: "more of the same."
It’s not writing code, it’s managing complexity
Why did searches for ChatGPT decline sharply in June and July?
Taking AI Far Beyond Small Self-Contained Coding Tasks
How computing instructors plan to adapt to ChatGPT, GitHub Copilot, and other AI coding assistants (ICER 2023 paper)
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.