Blockchain And Web3’s “TrustLess” Data-Decentralized Technologies Might Re-establish Trust In A Distrustful Environment

We noted last year in Blockchain: Changing The Nature Of Doing Business And Re-imagine How To Manage Tangible And Digital Assets, that exciting and creative enterprise use cases built on blockchain-powered systems are driving real productivity and value at scale. As organizations begin to understand blockchain’s utility and promise, they’re

Read More

Getting Used To AI – It’s Clear That Artificial Intelligence Has Benefits, But The Question Now Is How To Use It Effectively

Computers were once seen as more or less infallible machines that simply processed discrete inputs into discrete outputs, whose calculations were never wrong. If a problem ever arose in a calculation or business process, it was definitionally caused by human error, not the computer. But as machines encroach on ever-more

Read More

The OpenAI ChatGPT Is A Great Example Of How AI Will Disrupt Industries’ “Knowledge Work”

ChatGPT, from OpenAI, shows the power of AI to take on tasks traditionally associated with “knowledge work.” But the future won’t just involve tasks shifting from humans to machines. When technology enables more people to complete a task, with help from a machine, the result is typically entirely new systems

Read More

The “Trust Recession” Intends To Eliminate Responsible AI, Say AI Ethics And AI Law

I’m sure you are familiar with the old saying that a rising tide lifts all boats. There is the other side of that coin, perhaps not as well known, namely that a receding tide sinks all ships. Bottom-line, sometimes the tide determines whether you are going up or going down.

Read More

A Six-Step Approach To Evaluate And Manage Algorithmic Performance

Understanding how to evaluate and manage algorithmic performance could be the difference between success and failure. This article outlines a six-step approach for defining what to measure and monitor. Central to this approach is to work out where the waste is by measuring failure states. These are critical to monitoring

Read More

Nudging Within Ethical Bounds: Sharing Information About Data Practices, And Being Transparent About The Algorithms

“Nudging” – the strategy of changing users’ behavior based on how apparently free choices are presented to them – has come a long way since the concept was popularized by University of Chicago economist Richard Thaler and Harvard Law School professor Cass Sunstein in 2008. With so much data about

Read More

From Privacy To Racial Bias, Ethical Concerns Over Facial Recognition Technology

Facial recognition technology has entered the mass market, with our faces now able to unlock our phones and computers. While the ability to empower machines with the very human ability to identify a person with a quick look at their face is exciting, it’s not without significant ethical concerns. Suppose

Read More

The Future Movement Of Goods: The Connected Community, Holistic Decision-Making, And Intelligent Automation

Even before the pandemic started, global supply chains were experiencing growing pains as they adapted to meet the pressures of rising demand and a delivery system in need of an overhaul. For example, shipping goods such as medicines, groceries, and everything else that powers our daily lives demonstrated the complexities

Read More

What It Means For Artificial Intelligence To Be “Explainable” And When It’s Important To Explain How An AI Produced Its Outputs

AI adds value by identifying patterns so complex that they can defy human understanding. That can create a problem: AI can be a black box, which often renders us unable to answer crucial questions about its operations. That matters more in some cases than others. Companies need to understand what

Read More

Conversational AI: By 2022, 70% Of White-Collar Workers Will Interact With Conversational Platforms

Technology and human interaction strategists take note: Innovators are tackling current limitations to conversational AI through their work in five areas. We expect them to lead to much broader adoption of conversational bots in the near future. Current versions of chatbots can be inefficient and frustrating to use, besides being

Read More

Augmented Intelligence: The Third Type Of AI For The Future Of Intelligent Work

Will smart machines really replace human workers? Probably not. People and AI both bring different abilities and strengths to the table. The real question is: how can human intelligence work with artificial intelligence to produce augmented intelligence. Chess Grandmaster Garry Kasparov offers some unique insight here. After losing to IBM’s

Read More

XAI Can Help Banks Confront The “Black-Box” Nature Of Their Machine Learning Models By Making AI More Explainable, Intuitive, And Understandable

In 2016, author and trained mathematician Cathy O’Neil posited that machine learning models, left unchecked, can easily turn into “Weapons of Math Destruction.” She further suggested that as these algorithms become “highly efficient, seemingly arbitrary, and utterly unaccountable… no one will understand their logic or be able to explain it.”

Read More