Does protecting sensitive data mean that you also need to compromise the performance of your machine learning model? If you study machine learning in university, or take an online course, you will normally work with a set of publicly available datasets such as the Titanic Dataset, Fisher’s Iris Flower Dataset, or the Labelled Faces in the Wild Dataset.
We examine the potential influence of machine learning and AI on the legal industry. To boldly venture where no legal team or department has ventured before – through Artificial Intelligence.
How do we apply ethics to artificial intelligence? Why do we now need AI ethics? What is AI ethics? The ever-expanding availability of big data and cloud computing, improved computing power, and recent developments in deep learning algorithms have paved the way for machine learning algorithms to transform nearly every industry.
Explainable AI, or XAI, refers to a collection of ways we can analyse machine learning models. It is the opposite of the so-called ‘black box’, a machine learning model whose decisions can’t be understood or explained.
Technical Due Diligence on companies with AI products and technologies Are you thinking about making an investment in a startup that allegedly uses AI or machine learning and would like a completely impartial assessment of their actual AI technology or products?
We built a machine learning model to predict which shipping vessels are likely to be held in detention. The model made it into the shortlist of the Singapore Ocean of Opportunities AI Track, an internationally renowned event where competing companies aim to build AI solutions for the shipping industry.
How we explain how a neural network can recognise an image? Sometimes as data scientists we will encounter cases where we need to build a machine learning model that should not be a black box, but which should make transparent decisions that humans can understand.
Gender bias in credit scoring AI? In recent weeks a number of Apple Card users in the US have been reporting that they and their partners have been allocated vastly different credit limits on the branded credit card, despite having the same income and credit score (see BBC article).