This is the second part of a 3-part series on the Ethical Use of Data for Training Machine Learning Technology by guest authors Andrew Pery and Michael Simon. Part 1 is available here. Part 2: The Ethical and Legal Challenges of AI The AI technology bias and its potentially unintended consequences is gaining the attention of policymakers, technology companies, and civil liberties groups. In a recent article based upon an ABA Business Law Section Panel: Examining Technology Bias: Do Algorithms Introduce Ethical & Legal Challenges? The panelist-authors noted that:
This is the first part of a 3-part series on the Ethical Use of Data for Training Machine Learning Technology by guest authors Andrew Pery and Michael Simon. Part 1: Bad Things Can Come from Non-neutral Technology AI technology is becoming pervasive, impacting virtually every facet of our lives. A recent Deloitte report estimates that shipments of devices with embedded AI will increase from 79 million in 2018 to 1.2 billion by 2022: "Increasingly, machines will learn from experiences, adapt to changing situations, and predict outcomes…Some will infer users' needs and desires and even collaborate with other devices by exchanging information, distributing tasks, and coordinating their actions."
Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
If your organization is like just about every other organization on the planet, you likely have some degree of an information management problem. Most likely, you create too much information, and you keep too much of it for too long. This causes enough problems by itself, but when you then add to the pile all the redundant, obsolete, and trivial (ROT) information you have in your systems, on your file shares, and in every other possible location, it’s a real nightmare. And it’s expensive – in terms of storage costs, in time to find information, in resources, and, sometimes, in fines and legal penalties.
As we enter into a new decade, it's hard not to look back and reflect on how different everything is now. Twenty years ago, the world was a completely different place than it is today.
There are many ways to learn beyond the traditional training course. I believe that one of the very best opportunities to learn comes from attending a conference. The sessions at most conferences are generally very good, but there is a bigger benefit for me. That's the opportunity to learn from my peers and colleagues, especially those from disciplines or industries I have less exposure to. It’s those conversations in the halls between sessions, during the lunch break, or after hours at the karaoke bar that can often provide new insights or new ways of looking at things.
It's 2020. In the age of ubiquitous information freely available online, why do I choose to spend my time, energy, and hundreds of dollars in membership dues a year to stay involved with associations? At AIIM - the Association for Intelligent Information Management - everything we do is to help you and your organization solve your information-driven business challenges. For me, there are three major reasons that associations hold value. They are: Networking Standardization Personal and Professional Development Let's take a look at each of these in greater detail.