Fraud and Fakes in AI are on the Way.

Consider just a few ways that AI can be used to create fraud through omission, latency, commission, oversampling, or bias. We already have AI created fake voices and fake images. This is just the beginning.

A. First of all, much of the purported AI is little more than standard statistical analysis, with error criteria unmentioned at best or concealed at worst.

B. Error that creep in to AI results are forever. There seems no continuing validation. Very important in medicine.

C. AI results and conclusions may dominate human conclusions and decisions, deprecating the human factor. Already students are using AI to generate original assignments.

D. Generative AI can be used to create new (i.e. fake) data and images, which in turn can be sold to other data centers as original data. This will impact business decisions, government regulations, and even scientific results - to mention just a few.

I expect in the next few years, the issues of fakes and fraud with AI will explode on the world stage. There soon may be senior ministers in governments, institutions, and military to monitor AI fraud.

Comments

Behavioral Science and Problem-Solving

I. I. Introduction. Concerning our general behavior, it’s high about time we all had some understanding of how we operate on ourselves, and it is just as important how we are operated on by others. This is the wheelhouse of behavioral sciences. It is a vast subject. It touches our lives constantly. It’s influence is pervasive and can be so subtle we never notice it. Behavioral sciences profoundly affect our ability and success at problem-solving, from the elementary level to highly complex wicked problems. This is discussed in Section IV. We begin with the basics of behavioral sciences, Section II, and then through the lens of multiple categories and examples, Section III. II. ...

Where is AI (Artificial Intelligence) Going?

How to view Artificial Intelligence (AI). Imagine you go to the store to buy a TV, but all they have are 1950s models, black and white, circular screens, picture rolls, and picture imperfect, no remote. You’d say no thanks. Back in the day, they sold wildly. The TV was a must-have for everyone with $250 to spend* (about $3000 today). Compared to where AI is today, this is more or less where TVs were 70 years ago. In only a few decades AI will be advanced beyond comprehension, just like TVs today are from the 50s viewpoint. Just like we could not imagine where the video concept was going back then, we cannot really imagine where AI is going. Buckle up. But it will be spectacular. *Back then minimum wage was $0.75/hr. Thus, a TV cost more than eight weeks' wages. -------------------------

Principles of Insufficiency and Sufficiency

The principles we use but don't know it. 1. Introduction . Every field, scientific or otherwise, rests on foundational principles—think buoyancy, behavior, or democracy. Here, we explore a unique subset: principles modified by "insufficiency" and "sufficiency." While you may never have heard of them, you use them often. These terms frame principles that blend theory, practicality, and aspiration, by offering distinct perspectives. Insufficiency often implies inaction unless justified, while sufficiency suggests something exists or must be done. We’ll examine key examples and introduce a new principle with potential significance. As a principle of principles of these is that something or some action is not done enough while others may be done too much. The first six (§2-6) of our principles are in the literature, and you can easily search them online. The others are relatively new, but fit the concepts in the real world. At times, these pri...

First Blog

Search This Blog