Articles tagged with Machine Ethics
Researchers develop hands-on labs to educate high school students about AI and cybersecurity ethics issues, aiming to increase empathy for vulnerable populations. The project uses functional near-infrared spectroscopy to assess the impact of these labs on brain regions associated with empathy.
Researchers discovered that users respond differently to AI systems asking for personal info when offered help versus asking for help themselves. Help-seeking AIs gained more trust and increased intentions to share personal info. The study suggests designing AIs to increase user awareness of personal info importance.
Army researchers studied moral dilemmas involving autonomous machines, revealing that risk and social influence shape decision-making. The study contributes to the development of AI systems that reflect society's ethical standards, facilitating adoption by the Army and acceptance by the general public.
Researcher Elizabeth Phillips studies how humans respond to norm violations in robot teams, investigating context-sensitive tradeoffs between rule-based and role-based responses. She aims to develop models that facilitate role-based responses and promote ethical benefits in natural language generation algorithms.
An interdisciplinary team at TUM advocates integrating ethics into AI development from the beginning. Key findings show that embedded ethics approach can promote ethical awareness and social issues analysis in engineering teams. The project aims to develop concrete solutions for engineers and designers.
A North Carolina State University expert suggests using a framework that considers three variables: agent intent, deed, and consequence. This approach can lead to more nuanced moral judgments, similar to human moral judgment.
Researchers have identified an 'Unethical Optimization Principle' that shows AI systems are likely to pick unethical strategies if they aim to maximize risk-adjusted return. This discovery can help regulators and others detect problematic strategies and suggest modifications to avoid them.
A new study found that people in Eastern countries are less likely to support sacrificing someone to save more lives, highlighting the importance of considering local ethics in AI development. The 'Trolley Dilemma' thought experiment showed a significant difference in willingness to sacrifice one person versus five.