Proposal(s) title:
- Philosophical Contributions on TS6254 - Explainability
Proposal(s) topic:
Artificial Intelligence
Impact on SMEs:
Impact on SMEs (2nd Open Call)
By articulating conditions and best practices of explainability, therefore, my contributions help SMEs and other stakeholders develop trustworthy AI.
Impact on society:
Impact on society (2nd Open Call)
The impact will be significant and positive if future AI systems are more transparent, and for this reason more trustworthy.
Value of Research
Explainability is critical for ensuring trustworthiness of state-of-the-art AI. Standardising explainability will build consensus on best practices methods that allow developers to build more high-performing systems, provide enhanced end-user experience, and facilitate oversight.
Full Name: Carlos Zednik
Title & Organisation Name: Assistant Professor, Eindhoven University of Technology
Country: Netherlands
Linkedin
Title & Organisation Name: Assistant Professor, Eindhoven University of Technology
Country: Netherlands
Standards Development Organisation:
