QCon London 2026: Ethical AI is an Engineering Problem

📰 InfoQ AI/ML

Ethical AI is considered an engineering problem, not just a governance or policy issue

intermediate Published 24 Mar 2026

Action Steps

Identify potential biases in AI systems
Implement data validation and testing to ensure fairness
Develop explainability techniques for AI decision-making
Integrate ethical AI principles into the software development lifecycle

Who Needs to Know This

AI engineers and software developers on a team can benefit from understanding the engineering challenges of ethical AI to design and implement more responsible AI systems, while product managers and DevOps teams can ensure the integration of these principles into the development pipeline

Key Insight

💡 Many risks associated with AI systems can be addressed through engineering solutions