Generative AI: How will the new era of machine learning affect you?

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ChatGPT, a query-answering and text-generating system released at the end of November, has burst into the public consciousness in a way seldom seen outside the realm of science fiction. 

If you type a query into ChatGPT, it will respond with a short paragraph laying out the answer and some context. Ask it who won the 2020 US presidential election, for example, and it lays out the results and tells you when Mr Joe Biden was inaugurated.

Foremost is the reliability problem. The computers may come up with believable-sounding answers, but it’s impossible to completely trust anything they say. They make their best guess based on probabilistic assumptions informed by studying mountains of data, with no real understanding of what they produce.

t might teach the AI how to “generate deceptive but believable things that actually fool humans,” he says. “The fact that truth is so slippery, and humans are not terribly good at it, is potentially concerning.”

For anyone deliberately trying to mislead, the machines could become misinformation factories, capable of producing large volumes of content to flood social media and other channels. Trained on the right examples, they might also imitate the writing style or spoken voice of particular people. “It’s going to be extremely easy, cheap and broad-based to create fake content,

jobs that involve a substantial element of design or writing are at risk.

Presented with songs written by ChatGPT to sound like his own work, singer and songwriter Nick Cave was aghast. “Songs arise out of suffering, by which I mean they are predicated upon the complex, internal human struggle of creation and, well, as far as I know, algorithms don’t feel,” he wrote online. “Data doesn’t suffer.”

Qns: 

1. To what extent is artificial intelligence replacing the role of humans? (Cam. 2019)

2. How far is science fiction becoming fact? (Cam. 2017)