Remove AI Research Remove Computer Scientist Remove Explainability
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UCI and Harvard Researchers Introduce TalkToModel that Explains Machine Learning Models to its Users

Marktechpost

However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists. Existing attempts at Explainable Artificial Intelligence (XAI) have faced limitations, often leaving room for interpretation in their explanations.

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This AI Tool Explains How AI ‘Sees’ Images And Why It Might Mistake An Astronaut For A Shovel

Marktechpost

It is known that, similar to the human brain, AI systems employ strategies for analyzing and categorizing images. Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks.

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AI Everywhere, All at Once

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The sentiment that we’re moving too fast for our own good is reflected in an open letter calling for a pause in AI research, which was posted by the Future of Life Institute and signed by many AI luminaries, including some prominent IEEE members.

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This AI newsletter is all you need #34

Towards AI

Announcing the launch of the Medical AI Research Center (MedARC) Medical AI Research Center (MedARC) announced a new open and collaborative research center dedicated to advancing the field of AI in healthcare. This article explains why. […]

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. The exact nature of general intelligence in AGI remains a topic of debate among AI researchers. These use areas are sure to evolve as AI technology progresses.

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Meet LegalBench: A Collaboratively Constructed Open-Source AI Benchmark for Evaluating Legal Reasoning in English Large Language Models

Marktechpost

LEGALBENCH offers substantial assistance in knowing how to prompt and assess various activities for AI researchers without legal training. This typology is based on the frameworks attorneys use to explain legal reasoning. All Credit For This Research Goes To the Researchers on This Project.

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What if AI treats humans the way we treat animals?

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While we can only guess whether some powerful future AI will categorize us as unintelligent, what’s clear is that there is an explicit and concerning contempt for the human animal among prominent AI boosters. I used to find the idea of sentient AI risible, but now I’m not so sure.

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