Is AI in the eye of the beholder?

Somebody’s prior beliefs about a man-made intelligence agent, like a chatbot, have a major impact on their interactions with that agent and their notion of its trustworthiness, empathy, and effectiveness, in line with a brand new examine. Researchers from MIT and Arizona State College discovered that priming customers — by telling them {that a} conversational … Read more

3 Questions: Jacob Andreas on large language models | MIT News

Phrases, information, and algorithms mix, An article about LLMs, so divine. A glimpse right into a linguistic world, The place language machines are unfurled. It was a pure inclination to process a big language mannequin (LLM) like CHATGPT with making a poem that delves into the subject of huge language fashions, and subsequently make the most of … Read more

Learning to grow machine-learning models | MIT News

It’s no secret that OpenAI’s ChatGPT has some unbelievable capabilities — for example, the chatbot can write poetry that resembles Shakespearean sonnets or debug code for a pc program. These talents are made potential by the huge machine-learning mannequin that ChatGPT is constructed upon. Researchers have discovered that when some of these fashions develop into … Read more

Large language models are biased. Can logic help save them? | MIT News

Seems, even language fashions “assume” they’re biased. When prompted in ChatGPT, the response was as follows: “Sure, language fashions can have biases, as a result of the coaching knowledge displays the biases current in society from which that knowledge was collected. For instance, gender and racial biases are prevalent in lots of real-world datasets, and … Read more

Solving a machine-learning mystery | MIT News

Massive language fashions like OpenAI’s GPT-3 are large neural networks that may generate human-like textual content, from poetry to programming code. Skilled utilizing troves of web information, these machine-learning fashions take a small little bit of enter textual content after which predict the textual content that’s more likely to come subsequent. However that’s not all … Read more

3 Questions: How AI image generators could help robots | MIT News

AI picture turbines, which create fantastical sights on the intersection of goals and actuality, bubble up on each nook of the net. Their leisure worth is demonstrated by an ever-expanding treasure trove of whimsical and random photos serving as oblique portals to the brains of human designers. A easy textual content immediate yields a virtually … Read more

Large language models help decipher clinical notes | MIT News

Electronic health records (EHRs) need a new public relations manager. Ten years ago, the U.S. government passed a law that strongly encouraged the adoption of electronic health records with the intent of improving and streamlining care. The enormous amount of information in these now-digital records could be used to answer very specific questions beyond the scope of clinical … Read more

Subtle biases in AI can influence emergency decisions | MIT News

It’s no secret that people harbor biases — some unconscious, perhaps, and others painfully overt. The average person might suppose that computers — machines typically made of plastic, steel, glass, silicon, and various metals — are free of prejudice. While that assumption may hold for computer hardware, the same is not always true for computer … Read more