Powerful AI enabled applications need strong safeguards. Explore how content filtering in SAP AI Core orchestration helps prevent unsafe outputs and supports responsible, enterprise-ready AI applications.
Just as air traffic control ensures every flight starts with clear communication and coordination, consent in AI must begin with clarity and trust to avoid turbulence later.Consent in Artificial Intelligence (AI) isn’t just a legal checkbox—it’s the ...
Benchmarking Large Language Models for fairness across diverse downstream tasks. A methodological framework for organizations to build robust bias assessment pipelinesSAP integrates AI-enhanced features powered by large language models (LLMs) into it...
AI is at a critical junction. Just as decades of engineering transformed air travel into the safest mode of transportation, AI now faces the same challenge: building trust through transparency and explainability advancements. This isn’t a “nice-to-ha...
Trustworthy Artificial Intelligence (AI) needs human control, today and probably forever, in one shape or another. Trust and safety need transparency: No informed decision is possible without, well, information! Follow us exploring a multi-disciplina...
How can AI decisions be made fairer?This blog explores how bias can emerge in large language models and demonstrates, through a practical hiring scenario, how SAP’s data masking capabilities in SAP AI Core Orchestration Service can help reduce unfair...
At SAP, we’re continually working to ensure that our AI-enabled features perform reliably and responsibly across diverse use cases.Since the introduction of our SAP Global AI Ethics Policy and the launch of our AI Ethics Assessment process in 2022, w...
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