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Data Analysis
Computer Networking
Medicine and the Arts: Humanising Healthcare
Exploring Play: The Importance of Play in Everyday Life
Songwriting: Writing the Lyrics
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Explore an innovative educational toolkit using value cards to teach the social impacts of machine learning through deliberation and critical thinking.
Explore GDPR-aligned transparency tools for privacy engineering with TILT, a language and toolkit designed to enhance practical implementation of data protection regulations.
Explore the ethical implications of algorithmic decision-making, focusing on fairness, equality, and power dynamics in AI systems and their societal impact.
Explore group-dependent label noise in fair classification, addressing challenges and proposing solutions for improved algorithmic fairness in machine learning models.
Explore socially fair k-means clustering algorithms, addressing fairness in machine learning and data analysis. Learn about innovative approaches to balance accuracy and social equity in clustering techniques.
Explore strategies for creating transparent and responsible technological systems, focusing on accountability in design and implementation.
Explore machine learning's role in predicting opioid use disorder, focusing on algorithmic fairness and ethical considerations in healthcare applications.
Explore methods for assessing ML model fairness with limited data, addressing challenges in uncertain and incomplete information scenarios.
Explore biases in generative art through an art history lens, examining causal relationships and their impact on AI-generated artwork. Gain insights into the intersection of technology and artistic expression.
Explore intergenerational mobility dynamics and opportunity allocation in this research presentation, examining societal impacts and potential policy implications for fairness and equity.
Explore a philosophical framework for explainable AI, examining the interplay between reasons, values, and stakeholders to enhance transparency and ethical considerations in artificial intelligence systems.
Comprehensive tutorial on AI explainability, covering techniques, tools, and applications. Learn to implement transparent and interpretable machine learning models for ethical AI development.
Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.
Explore strategic litigation's role in advancing digital rights and holding tech companies accountable, with insights on effective legal strategies and global case studies.
Explore human bias in AI systems, its impact on decision-making, and strategies to mitigate these biases for more equitable and ethical artificial intelligence.
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