Responsible AI Is Not Just About Regulation—It Starts in the Design
Responsible AI Is Not Just About Regulation—It Starts in the Design
Publish Date: 2026-03-23 04:23:00
Source Domain: www.bbva.com
- Ethics in AI should be embedded into technology development, rather than something to be added at the end of the process.
- Decisions made during data collection, model development, and metric definitions shape the ethical implications of AI.
- AI is currently experiencing a phase similar to other transformative technologies like aviation and electricity before they became reliable infrastructure.
- To integrate ethics, AI development should adopt a lifecycle perspective, considering bias and fairness in design, implementation, and monitoring.
- Tools like explainability libraries and evaluation methods are crucial for ensuring AI systems meet standards for security, fairness, and transparency.
- Fairness in AI is context-dependent, requiring teams to select appropriate criteria based on specific use cases and involved groups.
- AI systems inherently encode the values chosen during their development, which must be recognized to design them responsibly.
