posts, short articles, & resources
Below is a list of all my blog-like self-hosted short articles, pages, etc. Most are based on my published or preprinted work.
Why does cheating matter?
It has come up a number of times both on social media and in private conversations that especially junior people in academia, such as PhD candidates, are unable to not use AI. [...] They tell me that they feel so much direct or otherwise pressure from peers to use AI that they fear for their careers if they don't. If this describes you or addresses worries you've heard from others, then this is for you. Read More.
A personal anecdote and an appeal to junior colleagues.
Theory
On this page are pointers to materials I have created for cognitive scientists to know where to look to help build a deeper understanding of theories, theorising, and other important reasoning skills. [I]t's been a while that I have wanted to write an overview for where to find my ideas on theorising in cognitive science, and especially psychology and cognitive neuroscience: to help students and junior scholars in the field. Read More.
What is a cognitive scientific theory?
We've been here before!
We have certainly been here before. Many many times in the past, companies — just like artificial intelligence (AI) companies now — have lied to us to sell us products. Not only is there no reason to assume the AI industry is different, there is in fact much to make us think they are knowingly misleading us. Read More.
Parallels between AI and tobacco, and other warnings.
Turing test
I have collected extracts of my writings on the Turing test, which Alan Turing referred to as the Imitation Game. For the reader, this page merely assumes you're interested in what I have to say on this topic. And so, below are a chronologically ordered series of extracts — in each case you may want to click through to the full paper for more context. If you find any of this work useful, please cite us using the papers below. Read More.
Critically analysing the Turing test.
Critical AI
On this page are some resources for Critical AI Literacy (CAIL) from my perspective. [...] As we say here, CAIL is: an umbrella for all the prerequisite knowledge required to have an expert-level critical perspective, such as to tell apart nonsense hype from true theoretical computer scientific claims (see our project website). For example, the idea that human-like systems are a sensible or possible goal is the result of circular reasoning and anthropomorphism. Read More.
Critical AI Literacy (CAIL) from my perspective.
