AI Deception and Explainability: Why Transparent Systems Are Critical
Discusses the risks of AI deception and the importance of explainable AI to maintain trust and transparency.
IA & Systèmes Autonomes
Discover the future of artificial intelligence, from autonomous agents to generative models powering virtual worlds.
Algorithmic Bias and Discrimination: Lessons From Failed AI Tools
Analyzes real-world examples of biased AI systems and discusses strategies to prevent discrimination.
AI Ethics in 2025: Balancing Fairness, Privacy and Accountability
Examines the ethical principles of AI in 2025, focusing on fairness, privacy protection and accountability.
Measuring Generative AI Productivity: Metrics That Matter for Your Business
Outlines practical metrics to evaluate productivity gains from generative AI initiatives within organizations.
Cybersecurity Threats Intensify with AI-Powered Attacks
As AI tools become more accessible, cybercriminals are leveraging them to create sophisticated attacks, prompting organizations to enhance their security measures.
Human Oversight in the Age of AI Agents: Setting Ethical Boundaries
Explores why human oversight is crucial when deploying autonomous AI agents and how to set ethical boundaries.
AI Companions and Personal Assistants: The Next Digital Co‑Workers
Looks at how AI companions and digital personal assistants will support everyday tasks at work and home.
Building AI Agents Without Coding: A Guide for Non‑Developers
A practical guide on how non‑developers can build and deploy AI agents using no‑code platforms like Copilot Studio.
From Frontier Models to Tailored AI: Why Specialized Models Are the Future
Discusses the shift from general-purpose frontier models to smaller, tailored AI models designed for specific tasks and industries.
