Page 33: Research news on AI alignment

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.

Business

Using AI to predict survival probabilities of start-up companies

Research published in the International Journal of Data Science has used machine learning to predict the lifecycle of businesses operating in the digital economy. The work might help firms and policymakers understand enterprise ...

Software

AI-powered 'ulrb' uncovers Earth's hidden microbial gems

A team of researchers has created a novel machine learning tool that's cracking open one of biology's trickiest puzzles: finding the rarest microbes on Earth. Think of it like finding a needle in a haystack, except the needle ...

Machine learning & AI

Exploring the 'Jekyll-and-Hyde tipping point' in AI

Language learning machines, such as ChatGPT, have become proficient in solving complex mathematical problems, passing difficult exams, and even offering advice for interpersonal conflicts. However, at what point does a helpful ...

Machine learning & AI

Tech on the treetops: How AI can protect forests

Artificial Intelligence (AI) is the newest tool in the arsenal to prevent the degradation and depletion of forests, with new research revealing how the technology can help protect the ecosystem.

Machine learning & AI

Research shows humans are still better than AI at reading the room

Humans, it turns out, are better than current AI models at describing and interpreting social interactions in a moving scene—a skill necessary for self-driving cars, assistive robots, and other technologies that rely on AI ...

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