when left to their own devices; human feedback can help to steer neural networks in a better direction.
A fourth method was also tested, called the Human Centered Redistribution Mechanism , developed using, using feedback data from both human players and virtual agents designed to imitate human behavior. It's worth noting that the researchers acknowledge their system raises a number of questions – chiefly, that value alignment in their AI revolves around democratic determinations, meaning the agent could actually exacerbate inequalities or biases in society .
'A fourth method was also tested, called the Human Centered Redistribution Mechanism (HCRM), developed using deep reinforcement learning, using feedback data from both human players and virtual agents designed to imitate human behavior.'
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