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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sustainable-innovation-with-genai/
课程评论：没有评论
课程名称：可持续创新与生成式人工智能 课程概述：可持续性与人工智能是塑造未来的两大重要力量，但两者常常被孤立讨论。可持续发展专业人士面临着复杂的法规、资源约束和对透明数据驱动策略的需求等日益严峻的挑战。与此同时，人工智能正在改变行业，提供新的分析、自动化和问题解决能力。如何让二者相交集？生成式人工智能（Gen AI）如何能够为环境和社会带来真实的影响，并确保道德和负责的使用？该课程提供了一种实践和批判反思的方式来探索Gen AI在可持续性中的角色。 本课程并非仅仅集中于技术技能或商业效率，而是特别为可持续发展专业人士、社会影响领导者和 AI 从业者设计，旨在探讨实际应用。参与者将探索多个具体案例，包括基于人工智能的可持续发展战略制定、供应链脱碳、循环经济设计以及社会包容性倡议。课程不仅展示了人工智能的潜力，还直接讨论了其局限性和风险。人工智能本身具有显著的生态足迹，需消耗大量能源和计算资源。因此，尽管人工智能可以支持可持续发展努力，但也必须评估其自身的环境影响。此外，参与者将审视偏见、错误信息和伦理问题，确保人工智能的应用促进公平、问责和包容性，而非加剧不平等。 这不是一个被动的学习体验。通过案例研究、讨论和应用创意，参与者将批判性地评估人工智能驱动的可持续项目在各自领域的可行性。无论是在企业可持续发展、社会影响、创业还是政策领域，学习者都将获得可以直接应用于工作的切实见解。随着人工智能与可持续性的不断融合，既懂 AI 又了解可持续性的专业人士将会非常抢手。本课程将为学习者提供必要的知识和批判性视角，帮助他们应对这一不断变化的环境，确保能够引领对话、做出明智决策并推动有意义的变化。如果你准备好探索如何战略性且负责任地利用人工智能实现可持续性，该课程将为你提供行动所需的框架、工具和见解。
Sustainability and artificial intelligence are two of the most powerful forces shaping the future. Yet, they are often discussed in isolation. Sustainability professionals face growing challenges, including complex regulations, resource constraints, and the demand for transparent, data-driven strategies. Meanwhile, AI is transforming industries, offering new capabilities in analysis, automation, and problem-solving. How can these intersect? Can Generative AI (Gen AI) be leveraged for real environmental and social impact while ensuring ethical and responsible use? This course provides a practical, critically reflective approach to Gen AI's role in sustainability. Unlike AI courses focused on technical skills or business efficiencies, this program is designed for sustainability professionals, social impact leaders, and AI practitioners seeking real-world applications. Participants will explore concrete use cases, including AI-powered sustainability strategy development, supply chain decarbonization, circular economy design, and social inclusion initiatives. Beyond showcasing AI's potential, this course directly addresses its limitations and risks. AI itself has a significant ecological footprint, requiring vast amounts of energy and computational resources. While AI can support sustainability efforts, it must also be evaluated for its own environmental impact. Additionally, participants will examine bias, misinformation, and ethical concerns, ensuring AI applications promote fairness, accountability, and inclusivity rather than reinforcing inequalities. This is not a passive learning experience. Through case studies, discussions, and applied ideation, participants will critically assess the feasibility of AI-driven sustainability projects in their own fields. Whether working in corporate sustainability, social impact, entrepreneurship, or policy, learners will leave with actionable insights that can be directly applied to their work. As AI and sustainability continue to converge, professionals who understand both will be in high demand. This course equips learners with the knowledge and critical perspective needed to navigate this evolving landscape, ensuring they can lead conversations, make informed decisions, and drive meaningful changes. If you're ready to explore how AI can be strategically and responsibly leveraged for sustainability, this course will provide the framework, tools, and insights to take action.
