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Introducing the Online Harms Observatory: AI-powered analytics platform for real-time insights into online harmful content, showcasing a live monitor of abuse against Premier League players on Twitter.
Explore machine learning's potential and challenges in UK public services, featuring experts discussing opportunities, implementation, and ethical considerations in government AI adoption.
Explore AI applications in UK economic policymaking through a presentation on labour-flow-networks and panel discussion on broader government uses, addressing experiences, challenges, and future opportunities.
Experts explore AI's role in post-COVID policymaking, discussing technologies that aided during the pandemic and their future potential in government, including simulation, modeling, and addressing online harms.
Explore AI's role in addressing climate change, from COP26 reflections to future prospects. Learn how technology and collaboration can drive solutions for a sustainable future.
Explore groundbreaking AI applications in energy management, battery development, and materials manufacturing through expert talks and Q&A from the Alan Turing Institute's AI UK 22 showcase.
Inspiring conversation with Dame Stephanie Shirley on her journey from refugee to successful IT entrepreneur, advocating for women in STEM and supporting autism research.
Exploring challenges and frameworks for developing safe, reliable AI systems. Introduces spec-consistent machine learning to formalize desired AI behavior for real-world applications.
Explore algorithmic fairness and the concept of individual probabilities, examining their implications for AI ethics and decision-making processes in machine learning applications.
Exploring the challenges and opportunities of applying machine learning in healthcare, emphasizing the need for active human-machine collaboration to enhance patient care and decision-making.
Exploring interpretable machine learning in healthcare, proposing a framework for developing models based on user needs, and discussing potential applications for understanding and empowering human decision-making.
Explore methods for interpreting deep neural networks, including ACD and AWD, to enhance trustworthiness in AI. Learn about feature importance, scientific interpretability, and quality control in data science.
Exploring the crucial role of location data in urban decision-making, from resource management to emergency response, highlighting its potential to address global urban challenges.
Innovative statistical and modelling methods for COVID-19 risk assessment and intervention impact in zero-transmission settings, supporting policy decisions in Australia and Western Pacific.
Experts discuss COVID-19 modeling in France, challenges in decision support, and findings as societies reopen, offering insights into statistical approaches for pandemic response.
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