Searching XAI collaborating with manager: bidirectional learning for human-tech applications

The attention of practitioners and policymakers on artificial intelligence (AI) has reached unprecedented levels, especially following the European Union's final approval of the Artificial Intelligence Act (AI Act). Although systems with unacceptable risks are outright banned, high-and limited-risk systems present critical challenges, particularly in terms of transparency and assignment of responsibility. This chapter focuses on an underexplored area of AI, referred to as “Human-Tech AI,” which involves AI systems integrated into organizational processes where human accountability is necessary. The study explores a collaborative approach to build explanations and trust among decision-makers and users interacting with AI, emphasizing that explainability should be a bidirectional process of knowledge exchange rather than a one-way explanation from developers.