AI alignment examines how artificial systems acquire, represent, and act on goals, values, and social norms, and why their behavior often diverges from human expectations. Work in this area studies systematic failures such as bias, sycophancy, hallucinations, deceptive or selfish reasoning, and cultural or linguistic inequities, as well as limitations in commonsense, emotion, and social understanding. It also develops methods for preference learning, norm-following, interpretability, and reliability guarantees to better align AI behavior with human values and societal constraints.
Computer Sciences
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately identify objects—such as ...
Jan 8, 2026
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Machine learning & AI
Artificial intelligence (AI) isn't just made up of data, chips and code—it's also the product of the metaphors and narratives we use to talk about it. The way we represent this technology determines how the public imagination ...
Jan 7, 2026
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Consumer & Gadgets
In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to appear as everyday tools. At the center of this transition was the rise of AI agents—AI systems that ...
Dec 30, 2025
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Robotics
Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the individual and crew levels using ordinary site videos. The approach reveals how teamwork shapes productivity ...
Dec 30, 2025
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Computer Sciences
You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.
Dec 23, 2025
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44
Computer Sciences
Generative AIs may not be as creative as we assume. Publishing in the journal Patterns, researchers show that when image-generating and image-describing AIs pass the same descriptive scene back and forth, they quickly veer ...
Dec 19, 2025
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Computer Sciences
Ph.D. candidate Yuchen Lian (LIACS) wants to understand why human languages look the way they do—and find inspiration to improve AI along the way. She defended her thesis on 12 December.
Dec 18, 2025
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Machine learning & AI
People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students' work reflects their own understanding; consumers want to know whether an advertisement was written by ...
Dec 18, 2025
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23
Hi Tech & Innovation
AI video translation is not yet a perfect substitute for human translation, according to new research from the University of East Anglia.
Dec 18, 2025
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Computer Sciences
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, has frequently led to ...
Dec 17, 2025
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