I'm Sorry Dave: How the old world of personnel security can inform the new world of AI insider risk

2025-03-26 · Paul Martin, Sarah Mercer

Organisations are rapidly adopting artificial intelligence (AI) tools to perform tasks previously undertaken by people. The potential benefits are enormous. Separately, some organisations deploy personnel security measures to mitigate the security risks arising from trusted human insiders. Unfortunately, there is no meaningful interplay between the rapidly evolving domain of AI and the traditional world of personnel security. This is a problem. The complex risks from human insiders are hard enough to understand and manage, despite many decades of effort. The emerging security risks from AI insiders are even more opaque. Both sides need all the help they can get. Some of the concepts and approaches that have proved useful in dealing with human insiders are also applicable to the emerging risks from AI insiders.

📄 PDF Abstract BibTeX arXiv:2504.00012

Code (0)

등록된 구현이 없습니다.

I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action

2019-10-04 · Mathieu Seurin, Philippe Preux, Olivier Pietquin

The use of Reinforcement Learning (RL) is still restricted to simulation or to enhance human-operated systems through recommendations. Real-world environments (e.g. industrial robots or power grids) are generally designe…

Industrial Robots Q-Learning Reinforcement Learning Reinforcement Learning (RL)+1

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research

2025-06-04 · Alexandros Efstratiou

YouTube is among the most widely-used platforms worldwide, and has seen a lot of recent academic attention. Despite its popularity and the number of studies conducted on it, much less is understood about the way in which…

SorryDB: Can AI Provers Complete Real-World Lean Theorems?

2026-03-03 · Austin Letson, Leopoldo Sarra, Auguste Poiroux, Oliver Dressler 외 arxiv

We present SorryDB, a dynamically-updating benchmark of open Lean tasks drawn from 78 real world formalization projects on GitHub. Unlike existing static benchmarks, often composed of competition problems, hillclimbing t…

NLP in Human Rights Research: Extracting Knowledge Graphs about Police and Army Units and Their Commanders

2022-06-01 · LREC (LAW) 2022 6 · Daniel Bauer, Tom Longley, Yueen Ma, Tony Wilson

In this paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM). SFM creates data about the organizational structure, command personnel and operations of police, army and other securi…

Knowledge Graphs

NLP in Human Rights Research -- Extracting Knowledge Graphs About Police and Army Units and Their Commanders

2022-01-13 · Daniel Bauer, Tom Longley, Yueen Ma, Tony Wilson

In this working paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM). SFM creates data about the organizational structure, command personnel and operations of police, army and othe…