Cranfield Online Research Data (CORD)
Sarkadi_Technical Paper 3_DSDS19_Licence.pdf (202.24 kB)

Deceptive Autonomous Agents

Download (202.24 kB)
posted on 2020-01-09, 10:31 authored by Stefan Sarkadi
Recent advances in Artificial Intelligence (AI) along with recent events revolving around the problem of fake news indicate new and critical potential threats to intelligence analysis, defence, security, and, by extension, to modern society in general. One such threat that we can derive from the development of AI is the emergence of malicious autonomous artificial agents that could develop their own reasons and strategies to act dishonestly. In order to be able to prevent or mitigate the malicious behaviour of deceptive artificial and autonomous agents, we must first understand how they might be designed, modelled, or engineered. In this work, we aim to model and study how artificial agents that deceive and detect deception can be engineered, as well as how such agents might impact the common good.


KCL PhD Funding


Authoriser (e.g. PI/supervisor)