BALANCING INNOVATION AND FUNDAMENTAL RIGHTS IN THE AGE OF ARTIFICIAL INTELLIGENCE

Abstract

The exponential trajectory of Artificial Intelligence (AI) development has triggered a profound structural friction between industrial technological innovation and the preservation of constitutional fundamental rights. As AI systems scale from narrow predictive utilities to pervasive, autonomous, generative models, traditional "soft law" ethical frameworks are proving manifestly inadequate at preventing systemic harms. This paper examines the critical balance required to foster technological advancement while safeguarding core human rights, specifically focusing on the rights to informational privacy, non-discrimination, and procedural due process. Through a comparative legal and policy analysis of current global regulatory models—contrasting the European Union’s rights-based, risk-stratified approach under the EU AI Act with the United States’ market-driven, sector-specific frameworks—this study evaluates the "pacing problem" wherein technological capabilities outstrip statutory evolution.

Furthermore, the paper analyzes empirical friction points, such as the deployment of automated decision-making systems in public infrastructure and algorithmic bias in automated profiling, which challenge the foundational principles of human dignity and the rule of law. To reconcile this tension, this paper proposes an adaptive co-existence governance model. This framework leverages agile regulatory sandboxes, mandatory ex-ante Human Rights Impact Assessments (HRIAs), and "By-Design" technical architectures, including Explainable AI (X|AI) and differential privacy. Ultimately, this study argues that robust human rights protections are not structural impediments to technological progress; rather, enforceable legal guardrails are a prerequisite to establishing the public trust necessary for sustainable, long-term technological innovation.