Final answer:
Cooperation between algorithms and humans in the Explainable AI movement depends on trust to ensure AI systems are fair, transparent, and align with human values.
Step-by-step explanation:
The Explainable AI movement posits that the cooperation between agents, specifically algorithms and humans, largely depends on trust. This is because for AI to be effectively integrated into society and for individuals to rely on automated decision-making, there must be an assurance that the systems are operating in a fair, transparent, and understandable manner. Trust is pivotal in the context of AI, as it helps mitigate concerns regarding the mishandling of data, privacy infringements, and other ethical quandaries. The notion emphasizes the need for AI to be interpretable by humans to gain their trust and to ensure that the AI aligns with human values and safety. References to real-world scenarios, such as the prisoner's dilemma, illustrate that the likelihood of cooperation increases when there is trust between the parties involved.