Part of the power of AI and deep learning is that AI training can indiscriminately learn things we don’t explicitly instruct it to learn. Unfortunately, it can pick up on trends that we would rather it not – such as the inherent gender bias in our use of language. Companies
Category: Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
The Risks Of Including Everyone In AI Decisions In Your Organization
New tools are enabling organizations to invite and leverage non-data scientists – say, domain data experts, team members very familiar with the business processes, or heads of various business units – to propel their AI efforts. There are advantages to empowering these internal “citizen data scientists,” but also risks. Organizations
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
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
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
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.
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
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
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
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
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
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
