人工智能在体育与休闲领域中的作用

Artificial Intelligence (AI) is rapidly reshaping industries worldwide -- includingsport and recreation in New Zealand. This report breaks down what AI means for us,explores possible futures and offers practical steps to help us act with confidence. AI: A new era for sport and recreation It is also influencing how our towns and citiesare designed and operated, which in turnaffects where and how people engage in sportand recreation. The challenge for sport andrecreation is not just about adopting AI withinour own activities but about understanding andresponding to how AI is changing society as awhole. We must consider how shifts in workpatterns, leisure time, urban environments andpersonal wellbeing will impact participation anddemand in the sport and recreation sector. AI is no longer a distant prospect -- it is alreadyreshaping how we live, work and play. In thepast year alone, AI-powered tools have becomemainstream, automating tasks, generatingcontent and revolutionising user experiences.While sport and recreation organisations areexploring new opportunities in performanceanalysis, injury prevention, fan engagement,facility management and operational efficiency,the influence of AI extends far beyond theboundaries of our sector. As AI becomes as pervasive as the internet, thesector must stay informed and proactive -- notonly to harness its direct potential, but also toadapt to the broader societal changes it brings.The time to prepare is now. AI is transforming the fabric of daily life. Itis shaping how much discretionary time ordisposable income people have, introducing newforms of entertainment, and improving healthand wellbeing through advances in healthcare. The rise of AI: How did we get here? AI’s recent surge is driven by 3 key factors: Powerful computing Big investment Data explosion Governments and businessesare investing heavily,accelerating AI’s development. Wearable fitness technology,social media and sensorsgenerate massive datasetsfor AI to learn from. Modern computers processvast amounts of data,enabling smarter AI models. But with progress come new challenges: •Regulations struggle to keep pace.•Resource demands (energy, water) are rising.•Trust and ethics are under scrutiny. Why now? The tipping point for AI AI has reached a tipping point, becoming a general-purpose technology — like electricity or theinternet. Key trends include: Conversational search Industry-wide impact Flexible foundation models AI is transforming multiplesectors simultaneously. Systems like GPT-4 adapt todiverse tasks. AI chatbots are changinghow we access information. What’s next? 4 scenarios for AI’s evolution To help you anticipate the future, we present 4 scenarios for how AI could shape sport andrecreation by 2035: 2.Collapse 1.Growth 2035 Vision 2035 Vision Exponential AI advancement, seamlessintegration, massive investment. AI progress stalls due to resource limitsand public distrust. Implications Implications Real-time performance analytics,personalised fan experiences, operationalexcellence, global talent discovery,enhanced integrity. Return to traditional coaching, human skillsvalued, local focus, manual operations. 3.Discipline 4.Transformation 2035 Vision 2035 Vision Strict international AI governance andsustainability. AI-human symbiosis, new paradigms emerge. Implications Implications New sport forms, augmented humanperformance, creative collaboration, immersiveexperiences, redefined competition. Regulated innovation, standardisedsystems, enhanced oversight, sustainablepractices, global standards. What do we need to focus on? To maximise our resilience, we need to prepare for multiple scenarios while remaining agile enough toadapt as the future unfolds. Building strong foundations in human expertise, ethical frameworks andadaptive capacity will serve us well regardless of how AI evolves. Current state: How are we engaging with AI? While most sport and recreation organisations are in the early stages of AI adoption -- primarily usinggenerative tools like ChatGPT and Microsoft Copilot for content creation and automating routine tasks --it’s important to recognise that some national sports organisations have been leveraging AI, particularlymachine learning, for the better part of a decade. It’s easy to fall into the trap of equating AI solely with recent advances in generative AI, but the sector’sexperience with AI is broader and more established than it might first appear. Now, there is growinginterest in moving beyond basic generative tools to explore more advanced applications, such asAI-driven productivity solutions and tailored systems for grant administration and reporting. Barriers to adoption include: •confusion about what AI is and how to identify it•need for education on practical uses and benefits of AI•cost of AI tools, licensing and development•concerns about data integrity and technology maturity•resource requirements for implementation•navig