MACHINE AND HUMAN BIASES: A CHALLENGE TO LETHAL AUTONOMOUS WEAPONS REGULATION

Bias in lethal autonomous weapons is twofold: in the machine (data and model choices across the lifecycle) and in use (automation bias in human-machine interaction). Recent GGE-CCW position statements and documents converge on obligations to detect, correct, and mitigate both, but they remain nonbinding and operationally thin. A legally binding instrument that guarantees standards are verifiably met could minimize the dangers of this inheritance feature of AI-powered systems.