on Toshareproject.it - curated by Bruce Sterling
That seems fun.
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. Such kinds of realisations are possible only when one is educated on the principles behind AI that stem from the intersection of computer and cognitive science, but cannot be learned if interference from the technology industry is unimpeded. Unarguably, rejection of this nonsense is also possible through other means, but in our context our AI students and colleagues are often already ensnared by uncritical computationalist ideology. We have the expertise to fix that, but not always the institutional support.
CAIL also has the goal to repatriate university technological infrastructure and protect our students and selves from deskilling — as we explain here:
Within just a few years, AI has turbocharged the spread of bullshit and falsehoods. It is not able to produce actual, qualitative academic work, despite the claims of some in the AI industry. As researchers, as universities, we should be clearer about pushing back against these false claims by the AI industry. We are told that AI is inevitable, that we must adapt or be left behind. But universities are not tech companies. Our role is to foster critical thinking, not to follow industry trends uncritically….