Trustworthy AI The application of machine learning to support the processing of large datasets holds promise in many industries, including financial services. In fact, over 60% of financial services companies have embedded at least one Artificial Intelligence (AI)...
The Industry 4.0 revolution and the smart factory in process industry Industry 4.0 is a name for the current trend of automation and data exchange in manufacturing technologies. It includes Cyber-Physical Systems (CPS), the Internet of Things (IoT), Cloud and Edge...
What is Artificial Intelligence Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision....
How To Build Responsible AI, Step 1: Accountability The development, deployment and operation of irresponsible AI has done, and will continue to do, significant damage to individuals, business, markets, societies and economies of every scale. Now is the time to be...
How Can Artificial Intelligence Be Applied in Manufacturing? AI and Machine Learning are giving manufacturers an unprecedented ability to skyrocket throughput, optimize their supply chain, and accelerate research and development. Since the rise of the internet, the...
AI Accountability is the key to ethical artificial intelligence The inherent opacity of artificial neural networks means human accountability is needed to keep these systems in check, rather than increased transparency of its inner workings. Artificial intelligence...
Closing The Gap Between Planning Theory And Shop Floor Reality February 8th, 2022 Industries nowadays are faced with a number of challenges such as time loss by manually creating and updating production plans and schedules, time loss by fine-tuning schedules via phone...
Building trustworthy AI is key for enterprises In April 2019, the European Union released a set of guidelines for developing trustworthy AI systems. However, enterprises are just starting to realize ROI with AI applications, and the movement to make these systems...
How We Can Build Trustworthy AI Developers need to understand public concerns over the development of AI systems. There have been many reported instances where developers neglected these warnings and created AI systems that went rogue. For instance,...
Can Ontologies help making Machine Learning Systems Accountable? Semantic technologies have a yet unlocked potential to fill gaps and unsolved challenges towards trustworthy AI systems. This is an interesting state of the art article aimed at paving the way for future...