Adversarial Intelligence Research Articles

The Nooscope manifested: AI as instrument of knowledge extractivism

Some enlightenment regarding the project to mechanise reason. The assembly line of machine learning: data, algorithm, model. The training dataset: the social origins of machine intelligence. The history of AI as the automation of perception. The learning algorithm: compressing the world into a statistical model. All models are wrong, but some are useful. World to vector: the society of classification and prediction bots. Faults of a statistical instrument: the undetection of the new. Adversarial intelligence vs. statistical intelligence: labour in the age of AI.

Trusting a Double Agent

ABSTRACT We analyze trust in a game with a double agent and two adversarial intelligence organizations. Greater trust by one organization makes the agent more inclined to align against that organization because the intelligence advantage sought by the agent must come at the expense of a trustor. Conversely, trusting less than the rival organization makes the agent more tempted to double-cross the rival. We identify conditions for a sequential equilibrium where one organization mixes between trust and distrust and the profit-seeking double agent mixes her alignment between the two organizations. When the game includes both profit-seeking and organization-loyal types of agents, semi-separating equilibria are possible, depending on the distribution of agent types and the quality of information about agents’ trustworthiness. Pure-strategy trust by both organizations can be sequentially rational only with the existence of loyal types.

Cyber Counterintelligence

This article advances a conceptual framework for cyber counterintelligence (FCCI) as a theoretical construct, hopefully useful not only to this field's academic development, but also to sound practice. It is submitted within the context of the sharp increasing targeting of state and non-state actors by adversarial intelligence actors (such other nation states, crime syndicates and competitors). The signature role of cyber counterintelligence (CCI) is precisely the engagement, exploitation and neutralisation of such adversarial actors. CCI has been practised by nation states for well over a decade and has recently also been gaining traction in corporate board rooms and as an academic field. Sound theory is critical to not only CCI's academic evolvement but also to sound practice. The proposed FCCI comprises of eight notional building blocks essential to explaining what CCI is and how it works.

Adversarial Intelligence? Control Orders, Tpims and Secret Evidence in Australia and the United Kingdom

(2012). Adversarial Intelligence? Control Orders, Tpims and Secret Evidence in Australia and the United Kingdom. Oxford University Commonwealth Law Journal: Vol. 12, No. 2, pp. 341-369.