
Explore how algorithms shape our online experiences and learn about one creator's journey to understand TikTok's algorithm through innovative analysis techniques.

Explore collaborative ad transparency's potential and challenges in digital advertising, examining data collection methods, privacy concerns, and implications for platform accountability.

Análisis de problemas reportados por usuarios en aplicaciones inteligentes cotidianas, revelando desafíos en contenido, algoritmos, elección del usuario y retroalimentación, con implicaciones para el diseño de sistemas de apoyo.

Exploring ethical implications of data-driven algorithms, unintended consequences, and the need for empathy in software design to protect user privacy and well-being.

Zeynep Tufekci explores the impact of AI on decision-making, highlighting potential risks and emphasizing the importance of human ethics in guiding machine intelligence development.

Ray Dalio shares insights on creating an idea meritocracy through radical transparency and algorithmic decision-making, fostering open communication and data-driven group decisions for business success.

Explore essential ethical dimensions of predictive analytics, focusing on data privacy protection, bias elimination strategies, and building transparent accountability frameworks.

Explore factors influencing explanation stability in AI models amid dataset shifts, focusing on model curvature, weight decay, and shift magnitude for robust actionable explanations.

Delve into a critical analysis of AI's dual nature - examining the ethical concerns of predictive algorithms while exploring the transformative potential of generative AI for knowledge work and society.

Ever blamed an algorithm for being “evil” when it’s just doing exactly what it was taught? Meet Aadya.H, a curious and observant thinker who thrives on exploring unanswered questions. She experiments, learns through trial and error, and reflects on how people and systems evolve. In her talk, “Algori

We trust large software systems because they are fast, reliable, and always available. But does working at scale mean they are actually correct? In this talk, the speaker explores how hidden assumptions inside modern systems can cause them to quietly drift away from the behavior we expect without c