We’re hearing a great many troubling claims at this week’s public hearings of the parliamentary inquiry into AI, and no doubt there are plenty more to come.
As we follow the proceedings, it’s vital that we stop humanising AI like Big Tech does. Let’s make a start.
1. It’s not “training”. It’s assimilation.
When AI developers say that they’re “training” their models, what they actually mean is that they’re feeding them massive amounts of new data. Without an inexhaustible supply of words, images, equations and other cultural and scientific assets, large language models can’t improve their guesses. All they can do is regurgitate patterns based on the data they’ve already got. The global race that AI developers are in is to secure as much of what humanity has already created as possible, and then churn it through their models.
This process, of course, is not training. It’s assimilation – and it’s endless in scope.
At this week’s inquiry, Anthropic claimed that, within current Australian law, it was “technically impossible” to obtain “a licence for the use of every piece of content on the internet as training material”.
Let’s take a step back. Just as every unsecured object in the world isn’t yours for the taking, so too every piece of journalism, photography, literature, research or art on the internet isn’t yours by default. Intellectual property belongs to its copyright holder, no matter where you might encounter it.
Far from being “technically impossible”, Australia already has sophisticated copyright licensing regimes that allow legal uses of music, literature, journalism, research and art – with the consent of copyright holders and with appropriate compensation.
Not wanting to comply with the law isn’t the same as that being impossible.
Just like word and image processing software, AI products are made available to users via licenses. Gone are the days when you downloaded an app or installed it from a CD; Big Tech expects a monthly fee from us, rather than allowing us to own their product – so we know that they understand what licensing is. It’s entirely reasonable, therefore, that Big Tech pays to license the work they hope to assimilate – on the clear understanding that they don’t own that work any more than we own theirs.
2. It’s not “intelligence”. It’s content generation.
AI does not think through a problem or know all the answers. Cory Doctorow’s explainer puts it best: AI is not an intelligence but an unprofitable “word-guessing machine” that generates “an outcome that seems like thought without thinking”.
This “outcome” isn’t journalism, photography, literature, research or art. It’s content: that interchangeable filler that occupies the space and emulates the format of an email, document or image while creating a lot of extra unpaid work for the employees tasked with cleaning it up.
Australian legal giant HWLE recently warned its clients to beware of integrating AI-enabled products into their workflow because “AI behaves in probabilistic and often opaque ways, creating uncertainty and increasing the likelihood of unintended legal exposure.”