Autonomous agents, AI workflows, and the ethics of letting AI act
14 articles
Unlocking the potential of long-running AI workflows with Microsoft 365's Copilot Cowork, a game-changing feature that streamlines AI development and collaboration.
Learn how to build intelligent assistants that navigate real-world complexities and improve your users' experiences. Lessons from an AI receptionist.
Lessons from Karpathy's Autoresearch: a step-by-step guide to structuring a successful AI research project
Discover the rise of agent-based development and its potential to revolutionize the field of AI and intelligent systems.
Discover effective strategies for optimizing agent communication and integration in AI development, leveraging techniques from model-based reinforcement learning and multi-agent systems.
Learn strategies for building trust in AI systems through transparency and explainability, a crucial aspect of reliable AI development.
Learn how to bridge the gap between AI research and practical applications with actionable tips and code examples.
Explore the essential principles and techniques for designing AI systems that prioritize accountability, transparency, and fairness in decision-making.
Explore effective human-AI collaboration strategies for co-creation and co-evaluation in AI development
The intersection of AI and cybersecurity in the era of AI-powered threats and autonomous systems
Learn how to build conversational agents with emotional intelligence, beyond chatbots, to create more engaging and empathetic interactions.
Learn when to trust your AI agents and when to intervene in decision-making processes. Discover best practices for human-in-the-loop AI implementation