How Generative AI Fits into Knowledge Work
Seeking to influence how generative artificial intelligence affects various professions.
Artificial Intelligence and Machine Learning
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The Science of Detecting LLM-Generated Text
A technical introduction to LLM-generated text detection methods.
How to Navigate Generative AI within the Regulatory Frameworks of Banking and Finance
Navigating Generative AI within the regulatory frameworks of banking and finance requires a multidimensional approach.
Building artificial intelligence into medical devices can speed diagnoses and potentially improve treatments and outcomes.
Despite concerns, autonomous AI weapons and defense systems for military applications are on the rise.
U.S. Copyright Office’s Questions about Generative AI
Generating more questions than answers.
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without sacrificing the benefits it entails.
Pondering the Ugly Underbelly, and Whether Images are Real
Robin K. Hill teaches how proofs lead to the truth, while Carlos Baquero searches for truth in imagery.
Transitioning from classic 'programmed automation' to modern 'AI-powered autonomy.'
Generative AI Degrades Online Communities
How large language models are influencing online communities.
Improving Testing of Deep-Learning Systems
A combination of differential and mutation testing results in better test data.
Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines
This paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect.
Technical Perspective: Bridging AI with Real-Time Systems
"Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines," by Shengzhong Liu et al., proposes a new methodology for overcoming the limitations of current AI frameworks to enable the use of deep neural networks in mission-critical systems.
Anthropomorphism and Human-Robot Interaction
Humans are more likely to interact with robots if the robots look human.
Talking about Large Language Models
It is a serious mistake to apply to AI systems the same intuitions that we deploy in our dealings with each other.
If We Could Talk to the Animals
Can artificial intelligence overcome the communication barriers between species?
Unlocking the Potential of Zero-Knowledge Proofs in Blockchain
The intricate world of zero-knowledge proofs and their role within the blockchain.
Fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s.
Energy and Emissions of Machine Learning on Smartphones vs. the Cloud
An extensive study from Google finds machine-learning training in the cloud can significantly reduce carbon footprints.
The apparent ability of LLMs to write functioning source code has simultaneously caused celebration over the potential for massive increases in programmer productivity and consternation among teachers.
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