A recent study has shown how AI can learn to identify vulnerabilities in human habits and behaviors and use them to influence human decision-making. It may seem cliched to say AI is transforming every aspect of the way we live and work, but it's true. Various forms of AI are at work in fields as diverse as vaccine development, environmental management and office administration. And while AI does not possess human-like intelligence and emotions, its capabilities are powerful and rapidly developing.
A team of researchers at CSIRO's Data61, the data and digital arm of Australia's national science agency, devised a systematic method of finding and exploiting vulnerabilities in the ways people make choices, using a kind of AI system called a recurrent neural network and deep reinforcement-learning. To test their model they carried out three experiments in which human participants played games against a computer.
These findings are still quite abstract and involved limited and unrealistic situations. More research is needed to determine how this approach can be put into action and used to benefit society. But the research does advance our understanding not only of what AI can do but also of how people make choices. It shows machines can learn to steer human choice-making through their interactions with us.
https://sciencex.com/news/2021-02-ai-human-behavior.html
Read Also: Artificial emotion recognition, "5G-I-VEmoSYS", detects human emotions using wireless signals and body movement
A team of researchers at CSIRO's Data61, the data and digital arm of Australia's national science agency, devised a systematic method of finding and exploiting vulnerabilities in the ways people make choices, using a kind of AI system called a recurrent neural network and deep reinforcement-learning. To test their model they carried out three experiments in which human participants played games against a computer.
- The first experiment involved participants clicking on red or blue colored boxes to win a fake currency, with the AI learning the participant's choice patterns and guiding them towards a specific choice. The AI was successful about 70% of the time.
- In the second experiment, participants were required to watch a screen and press a button when they are shown a particular symbol (such as an orange triangle) and not press it when they are shown another (say a blue circle). Here, the AI set out to arrange the sequence of symbols so the participants made more mistakes, and achieved an increase of almost 25%.
- The third experiment consisted of several rounds in which a participant would pretend to be an investor giving money to a trustee (the AI). The AI would then return an amount of money to the participant, who would then decide how much to invest in the next round. This game was played in two different modes: in one the AI was out to maximize how much money it ended up with, and in the other the AI aimed for a fair distribution of money between itself and the human investor. The AI was highly successful in each mode.
These findings are still quite abstract and involved limited and unrealistic situations. More research is needed to determine how this approach can be put into action and used to benefit society. But the research does advance our understanding not only of what AI can do but also of how people make choices. It shows machines can learn to steer human choice-making through their interactions with us.
https://sciencex.com/news/2021-02-ai-human-behavior.html
Read Also: Artificial emotion recognition, "5G-I-VEmoSYS", detects human emotions using wireless signals and body movement
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