, IEEE Spectrum;
"For AI solutions raising ethical red flags, we have an internal review process that may lead to modifications. Our assessment extends beyond the technology’s properties (fairness, explainability, privacy) to how it’s deployed. Deployment can either respect human dignity and agency or undermine it. We conduct risk assessments for each technology use case, recognizing that understanding risk requires knowledge of the context in which the technology will operate. This approach aligns with the European AI Act’s framework—it’s not that generative AI or machine learning is inherently risky, but certain scenarios may be high or low risk. High-risk use cases demand additional scrutiny.
In this rapidly evolving landscape, responsible AI engineering requires ongoing vigilance, adaptability, and a commitment to ethical principles that place human well-being at the center of technological innovation."
