by Adam Oehrle | Feb 1, 2022
As the old adage goes, don’t put all of your eggs in one basket. This is true in many cases, especially when it comes to security planning. Consider security in earlier times – it was incredibly elementary and focused primarily on physical security (usually only...
by Adam Oehrle | Dec 21, 2021
Machines have been building other machines for quite some time now ⎯⎯ think about robots buildings cars on assembly lines, which began approximately 50 years ago. Though they perform tasks autonomously, they aren’t totally self-aware; this isn’t The Terminator’s...
by Chris Damico | Dec 10, 2021
In Part 1 of this series, we discussed sample bias, measurement bias, and prejudice bias in Artificial Intelligence. From the beginning, ZeroEyes has set out to eliminate AI bias from our gun detection platform by focusing on object detection (in this case, weapons of...
by Chris Damico | Nov 24, 2021
Sample, Measurement, and Prejudice Bias Can software be biased? We tend to think of machine and deep learning AI as consistent, logical, and unwavering, but surprisingly, that isn’t always the case. Bias is the source of many AI failures. So why, and how, does bias...
by Chris Damico | Oct 5, 2021
Part 3 of our AI Security Blog Series In our previous two blog posts What is Artificial Intelligence, Anyway, and Defining Machine Learning, Deep Learning & Neural Networks, we gave in-depth descriptions that explain what artificial intelligence is, how machine...
by Chris Damico | Sep 14, 2021
Part 2 of our AI Security Blog Series In our previous blog post “What is Artificial Intelligence, Anyway,” we broke down what the term “artificial intelligence” (AI) actually means and provided examples of the types of AI: reactive, limited learning, theory of mind...
