UK Law and Practice Contributed by: Jamie Singer and Flora Peel, Onside Law
tant for rights-holders to understand and engage with NFTs in order to adequately protect their commercial rights and those of their partners. 10.2 AI The current AI boom owes much to several key factors: the advent of big data, enabling the stor - age and processing of vast and complex data - sets; the accessibility and scalability of cloud computing resources; and the development of powerful deep learning algorithms. These algo - rithms, essentially sets of instructions for training models to understand data, have enabled break- throughs in various types of AI applications. These AI applications encompass a range of fields, including natural language processing, computer vision, speech recognition, recom - mender systems, expert systems, robotics, and generative AI, each with its own capabili - ties and potential uses. Many AI systems today are examples of “artificial narrow intelligence” , meaning they excel at specific tasks but lack general human-like understanding. The pursuit of “artificial general intelligence” or “superintel- ligence” remains a goal for the future. However, as AI systems become more preva - lent, concerns about their explainability and unintended consequences have surfaced. The “black box” nature of some AI decision-making processes can lead to scepticism and distrust, while biases present in data can perpetuate or exacerbate societal inequalities. Additionally, fears of deepfakes, misinformation, and privacy breaches underscore the importance of digital literacy and technological safeguards. Moreover, the dominance of a few major compa - nies in the AI landscape raises concerns about monopolisation and diversity in development. Efforts to address biases and power imbalances
include diverse data collection, hiring practices, bias audits, and open-source initiatives, sup - ported by regulatory measures and funding. In the realm of sports, AI is increasingly used for athlete performance analysis, injury preven - tion, strategic decision-making, and enhancing the fan experience. Wearable trackers, predic - tive models, and AI referees are transforming how sports are played and managed. In addi - tion, AI-driven insights are shaping sponsorship, marketing strategies, and stadium operations, while innovations like AI commentators and aug - mented reality enhance fan engagement. Access to data remains a challenge, but AI tools offer cost-effective solutions and the potential to create more inclusive and supportive sport - ing communities. As AI continues to evolve, its impact on both sports and society at large will likely grow, necessitating ongoing efforts to address ethical and practical concerns. Legal Implications in the UK The UK has chosen not to implement specific legislation to regulate AI use at the moment, opt - ing instead for an approach focused on innova - tion and sector-specific guidelines. However, this strategy has faced criticism, including from the European Court of Human Rights (ECHR). There are some signs of potential regulation, such as the proposed Artificial Intelligence (Regulation) Bill, which seeks to establish a central AI Author - ity to oversee regulation in this area. The EU is in the process of implementing the AI Bill, while the new Labour government is furthering progress with a new UK AI Bill, which is expected to be announced in the coming year. The Trade Union Congress (TUC) has launched an AI taskforce with the goal of introducing a draft AI and Employment Bill in early 2024, aim -
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