Biased AI Is Another Sign We Need to Solve the Cybersecurity Diversity Problem

#artificialintelligence

It can also reflect human flaws and inconsistencies, including 180 known types of bias. Biased AI is everywhere, and like humans, it can discriminate against gender, race, age, disability and ideology. AI bias has enormous potential to negatively affect women, minorities, the disabled, the elderly and other groups. Computer vision has more issues with false-positive facial identification for women and people of color, according to research by MIT and Stanford University. A recent ACLU experiment discovered that nearly 17 percent of professional athlete photos were falsely matched to mugshots in an arrest database.


Malicious AI: How Can We Defend Against Weaponized Technology? - TOPBOTS

#artificialintelligence

We don't have to wait for AI to gain sentience and go rogue because the probability of intelligent automation being used by bad people for bad purposes is one…hundred…percent. Expect chaos when con artists conspire with convoluted neural networks. Assessing threats and preemptively developing defense mechanisms is critical for the good guys to prepare for, prevent, and mitigate potentially existential threats. That's the core message of a comprehensive and rather alarming report prepared by some of the brightest (ahem, human) minds on artificial intelligence. Aptly entitled "The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation," the 100-odd page policy recommendation paper was authored by luminaries from Future of Humanity Institute, OpenAI, Centre for the Study of Existential Risk, and leading universities in the U.S. and U.K. In the report, the authors described the fast-evolving threat landscape, key areas of security risk, and high-level recommendations for actions we can take today.


AI Considerations in Cyber Defence Automation

#artificialintelligence

When Apple unveiled the iPhone X, it catapulted artificial intelligence and machine learning into the limelight. Facial recognition became a mainstream reality for those who can afford it. A few months later, Vietnamese cyber security firm Bkav claimed it was able to bypass the iPhone X's Face ID using a relatively inexpensive $150 mask. The claim is still up in the air and while it has not been accepted to its full extent, no one was actually able to refute the claim based on scientific facts.


AI and Machine Learning in Cyber Security – Towards Data Science

#artificialintelligence

Zen monks have been using a tool called a'koan' for hundreds of years to assist them in reaching enlightenment. These koans are like riddles or stories that can only be solved by letting go of ones narrowing believes and stories about how things should be. Zen students sit in silent meditation and observe how the koan is working on them, slowly transforming their way of looking at the world and revealing a tiny piece of the path to nirvana, that place of no suffering.


Understand the top 4 use cases for AI in cybersecurity

#artificialintelligence

Cybersecurity is perhaps the single greatest threat to any organization today. While hardly a challenge, the proliferation of systems, data, cloud technologies, apps, devices and distributed endpoints has only exacerbated cybersecurity threats. Organizations must work harder than ever to safeguard their assets and customers. This goes beyond automating reactive measures. It now requires infosec professionals to work toward proactive detection to preemptively avoid or thwart threats.