Trustworthy AI
Article
May 7, 2024
Decoding the EU's AI Act: Implications and Strategies for Businesses
Discover the latest milestone in AI regulation: the European institutions' provisional agreement on the new AI Act. From initial proposal to recent negotiations, explore key insights and actions businesses can take to prepare for compliance. Get insights into actions organizations should take to get ready.
Article
January 24, 2024
Privacy Preservation in the Age of Synthetic Data - Part II
Anonymeter, details of Anonymity Tests Using AryaXAI, and case study analysis
Article
October 18, 2023
Privacy Preservation in the Age of Synthetic Data - Part I
Necessity of privacy risk metrics on synthetic data post-generation
Article
January 25, 2023
Can We Build a Trustworthy ‘AI’ While Models-As-A-Service (MaaS) Is Projected To Take Over?
Published at MedCity News
Article
August 29, 2022
The AI black box problem - an adoption hurdle in insurance
Explaining AI decisions after they happen is a complex issue, and without being able to interpret the way AI algorithms work, companies, including insurers, have no way to justify the AI decisions. They struggle to trust, understand and explain the decisions provided by AI. So, how can a heavily regulated industry, which has always been more inclined to conservatism than innovation, start trusting AI for core processes?
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