This article critically investigates the normative transformation of law and justice in the digital age, with particular emphasis on the challenges posed by artificial intelligence (AI), autonomous systems, and algorithmic governance. Human dignity—long enshrined as the cornerstone of international human rights and humanitarian law—faces systemic erosion through responsibility gaps, opacity in algorithmic decision-making, and the entrenchment of structural discrimination. The analysis identifies three interrelated crises: the inability of traditional liability doctrines to address autonomous decision-making, the conflict between the opacity of machine learning and legal requirements of transparency, and the reinforcement of social inequalities through algorithmic bias. Collectively, these dynamics reveal the inadequacy of existing legal paradigms and the necessity of rearticulating dignity as the central normative anchor. In response, the article proposes a human dignity-oriented framework structured around four interdependent principles: meaningful human oversight, transparency and explainability, proactive anti-discrimination safeguards, and accountability coupled with effective remedies. These principles are positioned as both ethical imperatives and enforceable legal standards capable of guiding regulatory, judicial, and governance practices. Furthermore, the study formulates policy recommendations emphasizing risk-based regulation, binding international instruments, corporate due diligence obligations, participatory governance structures, and anticipatory oversight mechanisms. The central contention advanced is that safeguarding human dignity in the digital era requires an integrated approach that combines law, ethics, and governance with cultural and educational transformation. Only by reaffirming dignity as a non-derogable foundation of justice can technological progress be directed toward a future that is not merely innovative but also equitable, accountable, and respectful of the intrinsic worth of all human beings.
Jana Nováková (Mon,) studied this question.