
Explore challenges in translating AI to healthcare: data curation, model testing, and human-AI interactions. Learn insights from real-time AI trials and FDA-approved medical AI systems analysis.

Explore diverse perspectives on intelligence, from individual to collective, natural to artificial. Delve into cultural transmission, machine learning, empathy for AI, and the ethical implications of evolving technological systems.

Explore the impact of large language and image models as cultural technologies, examining the balance between imitation and innovation in AI development.

Exploring algorithmic fairness in justice systems: accuracy, data sources, and potential biases. Discusses AI decision-making, explainability, and societal implications of algorithms in criminal justice.

Explore the distinction between AI's calculative "reckoning" and human "judgment," examining the potential and limitations of machine intelligence in ethical decision-making.

Explore fairness in machine learning, focusing on risk assessment tasks, data representation challenges, and performance measures. Learn about new findings and alternative approaches to promote equitable AI systems.

Explore AI's challenges, limitations, and future potential with computer scientist Melanie Mitchell. Delve into fundamental questions about intelligence, cognition, and the intersection of technology and human understanding.

Explore how language models are reshaping our understanding of knowledge, writing assistance, and plagiarism with insights from Anna Rogers in this thought-provoking discussion.

Explore the development of AI agents that mimic human behavior and cognition, delving into cutting-edge research and potential implications for the future of artificial intelligence.

Explore the potential of human-AI collaboration and its impact on various fields, examining the synergies and challenges in this emerging technological frontier.

Panel discussion exploring the need for a theory of intelligence, its potential components, and applications beyond human and machine intelligence, considering the limits of current AI successes and future challenges.

Explore the dark arts of Prompt Engineering in this eye-opening 43-minute conference talk from Devoxx. Delve into the evolving landscape of AI integration in organizations, focusing on the risks associated with Large Language Models (LLMs) and their appl…

Explore essential aspects of AI readiness and deployment, focusing on security, trust, ethics, and compliance. Learn key considerations and actionable steps for successful implementation.

Explore the distinctions between AI and automation, understanding their limits and appropriate integration in security contexts.

Explore strategies to identify and mitigate bias in AI systems, enhancing fairness and ethical decision-making in machine learning applications.

Explore Adobe's blueprint for responsible AI innovation, gaining insights to develop your organization's strategy for maximizing opportunities while minimizing risks.

Explore gender bias in machine learning with Shalvi Mahajan. Uncover AI's role in amplifying biases, real-world challenges, and evolving techniques to address them in product design and services across genders.

Explore the transformative impact of AI on industries, society, and the workforce. Gain insights into balancing technological advancement with human-centric approaches and ensuring equitable AI benefits.

Learn best practices for integrating responsible AI principles throughout the product development lifecycle, focusing on fairness assessment and practical implementation strategies.

Explore the potential and limitations of AI as a universal problem-solving tool with Professor Dirk Helbing. Gain insights into complex dynamic systems and alternative approaches to addressing world problems.

Explorează impactul inteligenței artificiale asupra societății, evidențiind capacitățile sale remarcabile și importanța menținerii conexiunii umane în era AI.