Our firm has been featured in two risk.net articles. Links to the articles can be found below: https://www.risk.net/investing/7269986/quant-funds-look-to-ai-to-master-correlations https://www.risk.net/investing/quant-investing/7341911/ex-credit-suisse-quants-embrace-machine-learning Alternatively, direct links to the PDFs are here: http://www.xai-am.com/wp-content/uploads/2020/01/Quant-funds-look-to-AI-to-master-correlations-Risk.net_.pdf http://www.xai-am.com/wp-content/uploads/2020/01/Ex-Credit-Suisse-quants-embrace-machine-learning-Risk.net_.pdf
Jonathan Wilmot was interviewed by EFN in November. See the video here: https://www.efn.se/bors-finans/borslunch-26-nov-2019/
Our firm has been featured in the latest World Economic Forum report on AI in financial services, "Navigating Uncharted Waters". We appear in the section on Explainable AI, a major focus area for us. For more details, see the report link below. http://www3.weforum.org/docs/WEF_Navigating_Uncharted_Waters_Report.pdf
Jonathan Wilmot was interviewed on Bloomberg in May, see the video here.
Aric Whitewood presented at the O'Reilly AI Conference in New York, in April. The video of the presentation can be found here:
Contact Explainable AI or XAI for short, is not a new problem, with examples of research going back to the 1970s, but it is one which has received a great deal of attention recently. An XAI system is one whose actions are understandable by humans, and ideally where such transparency is obtained with no reduction in prediction accuracy, or performance, of the underlying algorithms. The idea of an AI that is not explainable - a so-called 'black box' - which could...