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Artificial intelligence

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.

- The Washington Post

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AI is making literary leaps – now we need the rules to catch up

Last February, OpenAI, an artificial intelligence research group based in San Francisco, announced that it has been training an AI language model called GPT-2, and that it now “generates coherent paragraphs of text, achieves state-of-the-art performance on many language-modelling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarisation – all without task-specific training”.

As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper.” Given that OpenAI describes itself as a research institute dedicated to “discovering and enacting the path to safe artificial general intelligence”, this cautious approach to releasing a potentially powerful and disruptive tool into the wild seemed appropriate.

After all, without full disclosure – of program code, training dataset, neural network weights, etc – how could independent researchers decide whether the claims made by OpenAI about its system were valid?

The replicability of experiments is a cornerstone of scientific method, so the fact that some academic fields may be experiencing a “replication crisis” (a large number of studies that prove difficult or impossible to reproduce) is worrying.

On the other hand, the world is now suffering the consequences of tech companies like Facebook, Google, Twitter, LinkedIn, Uber and co designing algorithms for increasing “user engagement” and releasing them on an unsuspecting world with apparently no thought of their unintended consequences.

If the row over GPT-2 has had one useful outcome, it is a growing realisation that the AI research community needs to come up with an agreed set of norms about what constitutes responsible publication (and therefore release).

In a fascinating essay, I, Language Robot, the neuroscientist and writer Patrick House reports on his experience of working alongside OpenAI’s language model – which produces style-matched prose to any written prompt that it’s fed.

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