What is AI bias?
AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data....more
Image classification AI can find existing application in document review. Examples include identifying documents containing specific logo’s, separating our schematics or patent data, and identifying oil field maps and...more
The world is seeing major advances in artificial intelligence (AI) and data analytics, and novel applications in healthcare, education, transportation, e-commerce, and defense, among other areas. These algorithms are...more
The recent developments in AI and machine learning across industries have convinced many that this innovation is on par with the great, transformative technologies of the past: electricity, cars, plastics, the microchip, the...more
The current moment is bursting with opportunity to the bold and fearless business leader of tomorrow. We are collectively at a point of great change, where the nature of work has become increasingly more fluid. Today,...more
There is no wasted time studying the variety of algorithms at our disposal. After all, their relevance is determined by factors both within and outside our control. However, the growing variety of data from both communication...more
Artificial Intelligence (AI) bias is an anomaly in the output of machine learning (ML) algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training...more
If you were held accountable for the decision of a machine in contexts that have financial, safety, security, or personal ramifications to an individual, would you blindly trust its decision? It’s hard to imagine a person who...more
Artificial Intelligence (AI) can be a difficult concept to grasp. In 2018 the Pew Research Center released the results of a 2017 study that found only 17 percent of 1,500 U.S. business leaders claimed some familiarity about...more
Start thinking about your data as a capital asset. This is not an original idea. Douglas B Laney from Gartner built a strong argument around this concept in his book Infonomics: How to monetize, manage, and measure...more
Robotic Process Automation (RPA) is a software technology that enables the automation of digital tasks. With RPA, firms can create digital robots, or ‘bots’, that can learn, mimic, and then execute rules-based business...more
One of the greatest barriers to artificial intelligence (AI) adoption is trust. Amongst other things, this includes the defensibility of results, leadership’s support in both the sourcing and roll-out of AI solutions, and...more
Four Essential Principles of Quantum Computation The answer to the question “what is a quantum computer?” encompasses quantum mechanics (QM), quantum information theory (QIT) and computer science (CS). It is a device that...more
AI ethics is a sub-field of applied ethics, focusing on the ethical issues raised by the development, deployment and use of AI. Its central concern is to identify how AI can advance or raise concerns to the good life of...more
The ultimate endgame in the development of artificially intelligent (AI) systems is the creation of intelligent solutions that can input data from a variety of sources, process it (understand it), and perform multiple output...more
Toward the end of 2018 a global research and advisory firm, Gartner, ran a survey of more than 3,000 CIOs. The purpose was to understand the trends in digital commerce. The findings provided a comprehensive overview of...more
In late February 2019 the AI world enjoyed a viral moment when a machine learning framework was used to create a website called “this person does not exist”. Created using generative adversarial networks (GANs) made open...more
Within the field of Natural Language Processing (NLP) there are a number of techniques that can be deployed for the purpose of information retrieval and understanding the relationships between documents. The growth in...more
What do you say if somebody asks you what the algorithm is doing with your data? How does it learn? What is it looking at and why? Defensible use of AI is important, whether during litigation or through some other application...more
The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor.
Quantum computing is a beautiful fusion of quantum physics...more
K. Anders Ericsson was a Swedish psychologist who spent much of his academic career researching the psychological nature of expertise and human performance. He studied expertise across a variety of domains to understand how...more
The next decade will witness the introduction of AI regulation at both the Federal and State level. Much of this regulation will focus on the use of autonomous and self-driving cars. In 2016 the Obama administration...more
The past five years have witnessed a steady growth in both the testing and application of AI solutions for both legal ops and litigation teams. Whilst many of these applications are early stage, some are beginning to see...more
In March 2016, Lee Sedol, the Korean Go 18-time world champion, played and lost a five-game match against DeepMind’s AlphaGo, a Go-playing program that used deep learning networks to evaluate board positions and possible...more
The Luddites were a secret oath-based organization of English textile workers in the 19th century, a radical faction which destroyed textile machinery as a form of protest. The Luddite movement emerged during the harsh...more