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'; var randomNumber = Math.random(); var isIndia = (window.geoinfo && window.geoinfo.CountryCode === 'IN') && (window.location.href.indexOf('outsideindia') === -1 ); console.log(isIndia && randomNumber Currently, AI may do a plausible job at detecting the intent of another person. It may even have a list of predefined, possible responses that a human will respond within a given situation, they said.

However, when an AI system or machine only has a few clues or partial observations to go on, its responses can sometimes be a little, noted the researchers.

What were doing in these early phases is to help machines learn to act like humans based on our daily interactions and the actions that are influenced by our own judgment and expectations so that they can be better placed to predict our intentions, said Lina Yao, a lecturer at UNSW. This may even lead to new actions and decisions of our own, so that we establish a cooperative relationship, Yao said.

The researchers want to see awareness of less obvious examples of human behaviour integrated into AI systems to improve intent prediction. However, doing so is a tall order, as humans themselves are not infallible when trying to predict the intention of another person, the researchers said.

Sometimes people may take some actions that deviate from their own regular habits, which may have been triggered by the external environment or the influence of another persons actions, she said.

Yao and her team are developing a prototype humanmachine interface system designed to capture the intent behind human movement.

Excerpt from:
Artificial intelligence taking lessons on how to second-guess us - Times of India