Although the trustworthiness of an algorithmic system is undoubtedly a desired property, there are several challenges that demote it to a nice-to-have feature instead of a priority one.
Presentation of our paper at the 2020 IEEE International Conference on Big Data. We compared our ML Interpretability method called MASHAP with the most well-known counterpart, i.e. LIME. Our experiments showed that MASHAP, while achieves similar consistency, is much faster than LIME. (Paper title: “Evaluating MASHAP as a faster alternative to LIME for model agnostic machine learning interpretability”).
How “transparent” is transparency under the GDPR? Many scholars argue over whether there is a right to demand an explanation for an automatic decision. Even in the best case scenario there are some “loopholes”.
News - Press Releases
Pleased to announce our contribution to QUALCO’s successful acquisition of Fintech software solutions together with our partner Software Improvement Group (SIG). It gave us the opportunity to introduce our unique viewpoint on how IT Due Diligence projects shall be conducted, what is the depth of technical analysis required and how these are connected with hidden investment risks and opportunities. Read more: https://lnkd.in/diCFc2Ua
We’re happy to announce that we have been selected to participate in the Government of Canada’s source list for Artificial Intelligence (AI) suppliers. We look forward doing our bit helping towards Trustworthy AI especially in the public sector where decisions can impact the lives of millions of citizens.
In 2045’ s new podcast with Mr. Fanouris Drakakis, our CEO, Yiannis Kanellopoulos and Mr. George Marinos (Digital Transformation Director, National Bank of Greece), discuss the importance of software quality control for businesses.