Search Results for author: Aaron Dant

Found 5 papers, 1 papers with code

Killer Apps: Low-Speed, Large-Scale AI Weapons

no code implementations14 Jan 2024 Philip Feldman, Aaron Dant, James R. Foulds

The accelerating advancements in Artificial Intelligence (AI) and Machine Learning (ML), highlighted by the development of cutting-edge Generative Pre-trained Transformer (GPT) models by organizations such as OpenAI, Meta, and Anthropic, present new challenges and opportunities in warfare and security.

Decision Making

Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models

1 code implementation15 Apr 2022 Philip Feldman, Aaron Dant, James R. Foulds, Shemei Pan

Text analysis of social media for sentiment, topic analysis, and other analysis depends initially on the selection of keywords and phrases that will be used to create the research corpora.

Memorization

Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models

no code implementations5 Feb 2022 Philip Feldman, Aaron Dant, David Rosenbluth

This paper discusses the problem of mapping information spaces in general, and then presents a concrete implementation of this concept in the context of OpenAI's GPT-3 language model for determining if a subordinate is following a commander's intent in a high-risk situation.

Ethics Language Modelling

Integrating Artificial Intelligence into Weapon Systems

no code implementations10 May 2019 Philip Feldman, Aaron Dant, Aaron Massey

The integration of Artificial Intelligence (AI) into weapon systems is one of the most consequential tactical and strategic decisions in the history of warfare.

Ethics

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