The purpose of this study was to investigate explainable artificial intelligence 5. 0 (XAI 5. 0) in the context of emerging technologies for responsible innovation. A technology-foresight mapping review was initially conducted, identifying N1 = 2, 864 records. Subsequently, N4 = 1, 091 full-text assessments were screened, resulting in a final sample of N6 = 338 Scopus-indexed publications published between 1 January 2020 and 1 October 2025. Technology foresight modelling illustrated that the cubic polynomial model\: (Pₓ=0. 62t^3-4. 13t^2+22. 41t+34. 12) provided the best fit, with coefficients of determination (\: R₎₋ₘ^2=0. 94 and \: R₋₎₆^2=0. 91). The results showed that the disruptive scenario (MI ≈ 0. 52), the conservative scenario (MI ≈ 0. 68), and the infrastructure scenario (MI ≈ 0. 85) were identified as key trajectories within emerging responsible innovation. The results indicated that an innovation shift from narrow algorithmic interpretability toward broader accountability architectures and governance frameworks is necessary for emerging socio-technical ecosystems across industrial sectors.
Hanvedes Daovisan (Wed,) studied this question.