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How AIs ask for personal information is important for gaining user trust

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 expand study of ethics, artificial intelligence

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.

SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.

Phillips studying role-based norm violation response in human-robot teams

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 embedded ethics approach for AI development

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.

DJI Air 3 (RC-N2)

DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.

Ethics and AI: An unethical optimization principle

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.