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
The essence of formulating a competitive strategy is relating a company to its environment. Today, few conversations about industry environment and market forces can continue very far without discussing data, its challenges,...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
At a critical moment during the 2011 movie Margin Call, the CEO of a fictional Wall Street investment bank addresses his board on the eve of the 2008 financial crisis: “There are three ways to make a living in this business:...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
If artificial intelligence keeps improving, automating ever more jobs, what will happen? Many people are job optimists, arguing that the automated jobs will be replaced by new ones that are even better. After all, that is...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
Designing AI initiatives that enable your organization to deliver value through high stakes use cases is no mean feat. However, there are sensible steps that any skunkworks project can incorporate to increase their chances of...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
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
Big ideas require bold actions, planning, patience, and plenty of support. The more ambitious the task, the greater the resource commitment and need for collaboration with others. A business case needs to be made for the...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
Twenty years ago, there was a huge gulf between China and the United States on AI research. While the U.S. was witnessing sustained growth in research efforts by both public institutions and private sectors, China was still...more
3/11/2021
/ Artificial Intelligence ,
Big Data ,
Blockchain ,
China ,
Discovery ,
e-Discovery Professionals ,
Electronically Stored Information ,
Evidence ,
Facial Recognition Technology ,
Foreign Investment ,
Foreign Policy ,
Legal Technology ,
Virtual Litigation
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