Category : IT and AI

Nations whispered, then spoke. Different values ​​danced in search of harmony. From the clash emerged a fragile consensus: global ethical guidelines for AI, a compass pointing toward a future where technology serves humanity, not the other way around.

Human-AI interaction involves communication and collaboration between humans and AI through text, voice, gestures and visuals, with the aim of improving productivity, decision-making and user experience, while raising ethical and trust issues.

AI amplifies misinformation through deepfakes, bots, and targeted propaganda, making fake news harder to detect.

Weaponizing AI provides benefits such as improved combat performance, faster decision-making, and more accurate targeting. However, it has significant drawbacks, including ethical concerns, liability issues, increased risks, and abuse by criminals.

AI automates routine tasks, leading to job displacement in industries such as manufacturing and retail, while creating demand for highly skilled roles in emerging sectors. It increases productivity and innovation but widens income inequality and regional disparities. Adaptation through training, education, and policy reforms is essential to balance economic growth and social equity.

Accountability and transparency in AI ensure that AI systems are ethical, trustworthy, and safe. Accountability includes assigning responsibility for AI decisions, ensuring traceability, conducting audits, and talking harms caused by the technology. Transparency requires making AI processes understandable, disclosing data sources and biases, explaining decision-making, and notifying users when AI is used. Together, these values promote fairness, reduce risks, and build trust in AI systems.