Author(s): LIU, R., Institution: BEIJING SPORT UNIVERSITY, Country: CHINA, Abstract-ID: 596

1 Introduction
AI has been widely applied in the Olympic Movement across refereeing, performance analysis, talent scouting, event operation, spectator experience and heritage restoration. It boosts efficiency and accuracy but also brings ethical challenges conflicting with the Olympic spirit of excellence, friendship and respect. Current sports tech research overemphasizes functions while lacking systematic ethical risk analysis tied to ethical theories and sports governance, causing a disconnect between innovation, theory and governance. This study aims to systematically identify and classify AI-related ethical dilemmas, and propose targeted theoretical insights and practical paths for responsible AI adoption.
2 Method
A mixed-methods approach is adopted: literature review synthesizes sports ethics, tech ethics and global governance theories to build a conceptual framework; logical deduction analyzes tensions between AI and Olympic values; case triangulation examines Olympic AI applications and IOC governance documents, cross-validating theory and practice to summarize ethical dilemmas and solutions.
3 Results
AI fully penetrates Olympic scenarios, yet its logic conflicts inherently with the Olympic spirit, spawning five ethical dilemmas: data hegemony and privacy risks; algorithmic bias undermining fair competition; Olympic spirit dilution and tech alienation; weakened human autonomy and unclear responsibility; lagging governance and power imbalance.
Value reconstruction requires three orientations: optimizing fair competition with algorithm transparency, protecting humanistic values with human agency prioritized, aligning AI with sustainable and inclusive Olympic goals. A four-in-one governance system (law-technology-education-governance) is proposed: enact targeted legal rules to define data usage rights, algorithmic accountability, and privacy protection standards; developing ethical AI technologies (e.g., interpretable algorithms, privacy-preserving data processing) to embed ethical principles into technological design; enhance ethical literacy among athletes, referees, event organizers, and technology developers to promote responsible AI adoption; and establish a global governance platform involving the IOC, IPC, IFs, academic institutions, and technology enterprises to jointly formulate and implement AI ethics guidelines.
4 Conclusion
AI integration in the Olympic Movement balances tech innovation and humanistic values. This study constructs a dedicated analytical framework, categorizes ethical dilemmas, and puts forward a collaborative governance model for the IOC and related organizations. Future Olympics should pursue moderate tech empowerment and anti-alienation. The full-cycle framework balances instrumental and value rationality, supports a global sport-tech ethical order, and lays a foundation for relevant research in other sports events.