The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Artificial Intelligence (AI) | Machine Learning
This is the third 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. You can also check out Part 1 and Part 2 from this series. Part 3: Regulatory Efforts in the U.S. Present a Bleak Perspective In the United States, governmental efforts to examine AI have made far less progress as compared to the E.U. The most recent effort at the federal level, the Algorithmic Accountability Act of 2019 (S.1108) sponsored by Senator Ron Wyden (D-OR) and Senator Cory Booker (D-NJ)(with a parallel House bill, H.R.2231, sponsored by Representative Yvette Clark (D-NY)), seeks "To direct the Federal Trade Commission to require entities that use, store, or share personal information to conduct automated decision system impact assessments and data protection impact assessments." The proposed law would require the Federal Trade Commission to enact regulations within the next two years to require companies that make over $50 million per year or collect data on more than 1 million people to perform an "automated decision system impact assessment." However, unlike the GDPR's transparency requirements (no matter how debatable), the proposed bill would not require those assessments to be made public. Despite this lack of a transparency provision, the bill was quickly endorsed by a number of civil rights groups.
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AIIM Conference | Digital Transformation
It’s no secret that AIIM believes every organization is on — or should be on — a Digital Transformation journey. In fact, AIIM itself is on its own Digital Transformation!
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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.
Artificial Intelligence (AI) | Machine Learning
This is the third 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. You can also check out Part 1 and Part 2 from this series. 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:
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Artificial Intelligence (AI) | Machine Learning
This is the third 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. You can also check out Part 1 and Part 2 from this series. 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."
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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.
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AIIM on Air | Business Process Management (BPM) | Privacy
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.
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