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5 things about AI you may have missed today: Bill Gates on AI risks, Wipro launches ai360, more

12Jul

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5 things about AI you may have missed today: Bill Gates on AI risks, Wipro launches ai360, more

[ad_1] Yesterday, July 11, was dominated by the incident where Suumit Shah, the founder of the ecommerce startup Dukaan tweeted about replacing 90 percent of the company's customer support staff with artificial intelligence (AI) chatbot, and netizens began condemning the founder for his lack of empathy. Today, things take a different turn as Microsoft cofounder Bill Gates posted a blog where he talked about the risks AI poses and how to manage it. In a separate incident, IT major Wipro launched its new service called ai360. This and more in today's AI roundup. Let us take a closer look. Bill Gates talks about the risks of AIGates wrote a long post on his blog GatesNotes about the existing and potential risks AI poses, and how to manage it. In a tweet, posting about the blog, he said, “T...

Sam Altman shocks, says trusts ChatGPT the least on Earth

[ad_1] Generative AI is changing the way the world works. It has affected a multitude of industries and as it keeps getting smarter, the chances are its scope of impact will also increase. And the inception of this new technology, in many ways, came in November 2022, when OpenAI made the public release of ChatGPT. However, even the founder and CEO of the company that made this technology, Sam Altman, is not convinced of its accuracy. In a session at the Indraprastha Institute of Information Technology, Delhi, Altman said jokingly, “I trust the answers that come out of ChatGPT the least on Earth”. Sam Altman addresses AI hallucinationsThose who deal with generative AI understand the critical issue which is called AI hallucinations. In essence, refers to a confident response by an AI that...

AI holds massive potential for malicious use, but who will be held accountable?

[ad_1] While generative AI is rapidly advancing, it also raises concerns about its potential to be used maliciously. Generative artificial intelligence (AI) models may be susceptible to bias, as they learn patterns and generate output/predictions based on the data they are trained on. If the training data is biased or incomplete, the model's output can also be incorrect/biased. Also, given that AI language models can generate human-like text and can be trained to impersonate the writing style of humans, there are also serious concerns about its potential misuse for spreading fake news.The other interesting concept being whether Generative AI are intermediaries can claim a safe harbour for the content published on their platforms. It is important to observe that, unlike search engines th...