Until now it has been assumed that moral decisions are strongly context dependent and therefore cannot be modelled or described algorithmically, researchers said.
"But we found quite the opposite. Human behaviour in dilemma situations can be modelled by a rather simple value- of-life-based model that is attributed by the participant to every human, animal, or inanimate object," said Leon Sutfeld, from University of Osnabruck in Germany.
Researchers asked the participants to drive a car in a typical suburban neighbourhood on a foggy day when they experienced unexpected unavoidable dilemma situations with inanimate objects, animals and humans and had to decide which was to be spared.
The results were conceptualised by statistical models leading to rules, with an associated degree of explanatory power to explain the observed behaviour.
They found that moral decisions in the scope of unavoidable traffic collisions can be explained well, and modelled, by a single value-of-life for every human, animal, or inanimate object.
"Since now it seems to be possible that machines can be programmed to make human like moral decisions it is crucial that society engages in an urgent and serious debate," said Gordon Pipa, from University of Osnabruck in Germany.
"We need to ask whether autonomous systems should adopt moral judgements, if yes, should they imitate moral behaviour by imitating human decisions, should they behave along ethical theories and if so, which ones and critically, if things go wrong who or what is at fault?" Pipa added.
However, the team warns that we are now at the beginning of a new epoch with the need for clear rules otherwise machines will start marking decisions without us.
The study was published in the journal Frontiers in Behavioural Neuroscience.
Disclaimer: No Business Standard Journalist was involved in creation of this content
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