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OpenAI is investing in research aimed at developing algorithms that can predict human moral judgments. A grant of $1 million over three years has been awarded to Duke University for a project titled 'Research AI Morality.' This initiative seeks to explore how AI can assist in making ethical decisions across various fields such as medicine, law, and business.
The research is led by Duke professors Walter Sinnott-Armstrong and Jana Borg, who have previously worked on creating algorithms that align with moral decision-making. Despite the ambitious goals, the complexity of morality poses significant challenges, as current AI systems lack a true understanding of ethical concepts. The project aims to address these challenges, but the feasibility of creating a reliable moral AI remains uncertain.
• OpenAI grants $1 million for AI morality research at Duke University.
• The project aims to train algorithms for predicting moral judgments.
AI morality refers to the study of how artificial intelligence can make ethical decisions.
The term 'moral GPS' describes AI's potential to guide humans in ethical decision-making.
Machine learning involves training algorithms on data to recognize patterns and make predictions.
OpenAI is focused on advancing artificial intelligence in a safe and beneficial manner, funding research to explore AI's ethical implications.
Duke University is conducting research on AI morality, supported by OpenAI's funding to explore ethical decision-making.
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