Artificial Intelligence
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ASML has a global monopoly on EUV, the most advanced lithography technology that is on the Wassenaar Arrangement list of dual-use technologies and requires an export license. The Dutch government approved the export license of EUV-technology to China in 2018. The US government was not pleased and tried to press its ally to consider the security issues.
Bite-back occurs when an innovation has unexpected and unintended effects. It is probably the case that in most cases such consequences are negative, but that is not invariably the case. Bite-back happens because a new technology is by definition an exploration into the unknown, and so it is impossible to predict precisely whether it will do more or less of just very different things from what it was meant to do.
The proliferation of advanced generative AI models has unequivocally highlighted what was already foreseeable since the advent of the algorithmic era. The traditional notion of "consent" is no longer a viable proposition in the context of an algorithmic society. Given the increasing sophistication of emerging AI generative models, which legal basis could be a reasonable alternative?
A concise introduction into the workings of large language models is presented. We start with an introduction to the attention mechanism, the core of the transformer architecture, which is then followed by a discussion of the steps needed to engineer the base model, a generatively pretrained transfromers (GPT), to a working chatbot like ChatGPT.
“You can do some pretty impressive things with AI as a technological platform, but I am not necessarily an optimist because there are also some very negative paths that AI could take as a technology. We have a confluence of factors that make the negative use of this technology much more probable than positive use”, MIT economist Daron Acemoglu argues.
Bite-back occurs when an innovation has unexpected and unintended effects. It is probably the case that in most cases such consequences are negative, but that is not invariably the case. Bite-back happens because a new technology is by definition an exploration into the unknown, and so it is impossible to predict precisely whether it will do more or less of just very different things from what it was meant to do.
“You can do some pretty impressive things with AI as a technological platform, but I am not necessarily an optimist because there are also some very negative paths that AI could take as a technology. We have a confluence of factors that make the negative use of this technology much more probable than positive use”, MIT economist Daron Acemoglu argues.