
什么是推理型人工智能,它将为人类带来什么?
人工智能的进步正在推动将人类推理的一些元素融入到自身之中。这种“推理型人工智能”将补充人类智能,提高生产力并在解决复杂问题方面取得突破。随着推理型人工智能的发展,政策制定者、行业领导者和技术专家必须建立强大的控制框架,确保人工智能的发展符合人类价值观和社会目标。
Anne-Laure Thibaud, a seasoned professional with over two decades of experience in large-scale big-data analytics and AI, has observed the pivotal role that data and insights have come to play in shaping competitive organizations. Since joining Capgemini in 2000, Anne-Laure has risen to a position of global leadership. She now spearheads the company's worldwide portfolio in data, analytics, intelligent automation, AI and Gen AI. Her role is crucial in guiding Capgemini's clients to future-proof their businesses and stand out in today’s data economy, with a particular emphasis on leveraging the full potential of AI and Gen AI at scale and infusing it at the heart of their operations. Her approach centres on delivering trusted and tangible business outcomes out of this new era, working in close collaboration with clients, partners and the innovation ecosystem. Through these partnerships, she strives to foster inclusive, positive and sustainable futures, underscoring the transformative potential of data and AI in driving business success and societal progress.
人工智能的进步正在推动将人类推理的一些元素融入到自身之中。这种“推理型人工智能”将补充人类智能,提高生产力并在解决复杂问题方面取得突破。随着推理型人工智能的发展,政策制定者、行业领导者和技术专家必须建立强大的控制框架,确保人工智能的发展符合人类价值观和社会目标。
As reasoning AI draws close, policymakers, industry leaders and technologists must create frameworks that ensure developments align with societal goals.