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Dr. Oldfield on AI and Statistics at the Sprite+ Fellows Event

June 29, 2025

Introduction At the recent Sprite+ Fellows event, Dr. Oldfield delivered a compelling address on the fundamental connection between AI and statistics. This talk highlighted how statistical methods are crucial not only for building robust AI models but also for ensuring they are fair and reliable. This blog post dives into the key points from that speech, exploring how data-driven insights are shaping the future of artificial intelligence. The Link Between AI and Statistics Many people view AI as a futuristic, almost magical technology, but at its core, it is deeply rooted in statistics. Dr. Oldfield explained that AI models are essentially complex statistical tools that learn from data to make predictions or decisions. Statistics provides the mathematical framework for understanding data, identifying patterns, and validating the performance of an AI model. Without a solid understanding of statistics, it’s impossible to build AI systems that are both effective and trustworthy. Key Takeaways from the Sprite+ Event Dr. Oldfield’s presentation at the Sprite+ Fellows event focused on several key areas. He spoke about the importance of statistical rigor in training data, emphasizing that a flawed dataset will inevitably lead to a flawed AI model. He also discussed how statistical analysis can be

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Dr. Oldfield on the Future of Tech: Insights from the National Technicians Forum

June 29, 2025

Introduction In an age of rapid technological change, the role of technicians is evolving faster than ever. Dr. Oldfield recently addressed this critical topic at the National Technicians Development Forum, where she spoke on the future of technical skills in a world increasingly powered by AI and data. This blog post explores the key insights from her speech, highlighting the essential skills technicians need to thrive in the new economy. The Changing Role of Technicians Dr. Oldfield’s keynote emphasized that the traditional role of a technician is no longer sufficient. Technicians are no longer just maintenance professionals; they are now also becoming data analysts, problem-solvers, and innovators. As smart systems and automated processes become commonplace, technicians must understand not only the hardware but also the underlying data and AI models that drive them. This shift requires a continuous commitment to learning and skill development. The Importance of AI and Data Skills The discussion moved on to why AI and data skills are now fundamental for technicians. Dr. Oldfield explained that these skills enable technicians to perform predictive maintenance, troubleshoot complex systems more efficiently, and even contribute to the design of new technologies. Understanding how to interpret sensor data or analyze

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Dr. Oldfield on Data & AI Ethics at Westminster City Council

May 29, 2025

Introduction In an age where data and AI are reshaping public services, the discussion on their ethical use is more critical than ever. Dr. Oldfield recently delivered a powerful address at the Westminster City Council, where she spoke on the crucial intersection of data, AI, and civic responsibility. This blog post explores the key insights from her speech, highlighting a vision for a more ethical and transparent use of technology in government. The Role of Data in Public Services Dr. Oldfield’s invited talk began by emphasizing the immense potential of data to improve public services. She explained how data analytics and AI can be used to optimize public transport, manage city resources more efficiently, and personalize citizen services. However, she stressed that this potential can only be realized if governments handle data with the utmost care and respect for privacy. A clear framework for data governance is essential to build and maintain public trust. Building Trust in AI-Powered Government The conversation then moved to the ethical challenges of using AI in the public sector. Dr. Oldfield highlighted that AI systems used for public services, such as welfare distribution or predictive policing, must be free from bias and must be completely

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AI and Education: Dr. Oldfield on the LSE Eden Podcast

April 29, 2025

Introduction Artificial Intelligence is no longer just a futuristic concept in education. In a recent episode of the LSE Eden Podcast, Dr. Oldfield shared his expertise on the profound ways AI is reshaping classrooms and learning environments. This blog post explores the key takeaways from that insightful discussion, highlighting how AI can serve as a powerful tool to personalize learning and support both students and educators. To watch the webinar click here The Role of AI in Modern Education AI is revolutionizing the education sector by offering personalized learning experiences that were previously impossible. From adaptive learning platforms that adjust to a student’s pace to AI-powered tutors that provide instant feedback, the technology is making education more accessible and effective. This shift allows teachers to focus on more complex tasks, such as fostering critical thinking and creativity, rather than repetitive administrative work. Dr. Oldfield’s Perspective on AI in Education During his talk on the LSE Eden podcast, Dr. Oldfield emphasized that while AI is a powerful tool, it should not replace the human element of teaching. He stressed the importance of using AI to augment, not automate, the learning process. According to Dr. Oldfield, the focus should be on how

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Dr. Oldfield on AI & Analytics at LSE: Insights from the Action Series

February 28, 2025

Introduction In today’s data-driven world, understanding how to apply AI and analytics in real-world scenarios is more crucial than ever. Dr. Oldfield recently delivered a keynote at the prestigious LSE Analytics in Action Series, where she focused on turning data into actionable business strategies. This blog post explores the key takeaways from her insightful talk, providing a clear look at how businesses can leverage AI for real-world impact. Bridging the Gap Between Data and Action Dr. Oldfield’s speech centered on the disconnect that often exists between having vast amounts of data and knowing what to do with it. She explained that many organizations collect data but fail to translate it into tangible business outcomes. The “Analytics in Action” series, and her talk in particular, aimed to bridge this gap by focusing on practical, applied analytics. She emphasized that the value of data lies not in its volume, but in its ability to inform smarter, data-driven decisions. AI’s Role in Modern Analytics The discussion moved on to the pivotal role of AI in transforming analytics. Dr. Oldfield highlighted that AI goes beyond traditional reporting, offering powerful predictive and prescriptive capabilities. AI models can forecast future trends, identify hidden patterns in data,

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