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AI

Balancing Ethics and Freedom: The Challenge of Regulating Public Access to Advanced AI like Chat GPT

In an era of rapid technological advancement, the availability of AI systems like Chat GPT to the public raises complex questions about ethics and limitations. Join us as we dive into the challenging debate surrounding the responsible use of this cutting-edge technology. 🤖⚖️ In this thought-provoking video, we explore the need for some rules to prevent the harmful use of AI while respecting the values of free expression. We will examine the difficult task of defining the ethical boundaries of AI systems and the impact of these decisions on our online conversations.

The Role of Artificial Intelligence in Cybersecurity - and the Unseen Risks of Using It

The concept of automation has been around for decades in the software field, but recent advancements in machine learning and natural language processing have led to huge breakthroughs. We’ve gone from machines that complete rules-based, predetermined tasks to a new generation of software that “learns” from huge sets of data so that it can make predictions — collectively known as artificial intelligence (AI).

Trustwave Measures the Pros and Cons of President Biden's Executive Order to Regulate AI Development

President Joe Biden, on October 30, signed the first-ever Executive Order designed to regulate and formulate the safe, secure, and trustworthy development and use of artificial intelligence within the United States. Overall, Trustwave’s leadership commended the Executive Order, but raised several questions concerning the government’s ability to enforce the ruling and the impact it may have on AI’s development in the coming years.

The 443 Podcast - Episode 267 - The White House Tackles AI

This week on the podcast we cover an Executive Order from the US White House on the topic of Artificial Intelligence. After that, we discuss the latest CISO that has found themselves in hot water with the law. We then cover an update to the Common Vulnerability Scoring System and end with a researcher claiming the end of encryption as we know it. The 443 Security Simplified is a weekly podcast that gets inside the minds of leading white-hat hackers and security researchers, covering the latest cybersecurity headlines and trends.

Microsoft's AI Experiment Gone Wrong: The Rise and Fall of 'Emily' - From Innovation to Controversy

In this eye-opening video, we delve into the intriguing story of Microsoft's AI experiment, affectionately known as 'Emily,' and its transformation from an innovative creation to a controversial internet sensation. Just a few years ago, Microsoft introduced 'Emily' to the world, a cutting-edge AI designed to interact with and learn from internet users. However, the results were far from what anyone expected.

Cybersecurity Expert: AI Lends Phishing Plausibility for Bad Actors

Cybersecurity experts expect to see threat actors increasingly make use of AI tools to craft convincing social engineering attacks, according to Eric Geller at the Messenger. “One of AI’s biggest advantages is that it can write complete and coherent English sentences,” Geller writes. “Most hackers aren’t native English speakers, so their messages often contain awkward phrasing, grammatical errors and strange punctuation.

How Executive Order on Artificial Intelligence Addresses Cybersecurity Risk

Unlike in the 1800s when a safety brake increased the public’s acceptance of elevators, artificial intelligence (AI) was accepted by the public much before guardrails came to be. “ChatGPT had 1 million users within the first five days of being available,” shares Forbes.

Unlock the Power of Quality Data in AI: Data Cleaning for Enhanced Accuracy and Output

In the fast-paced world of AI, data quality is paramount. To harness the full potential of your AI models, you need top-notch data. This means not just grabbing web pages with all the HTML, CSS, and JavaScript source code intact. Instead, you'll want to strip away the extraneous and retain only the critical information that's essential for training your AI. Leaving unnecessary code in the mix can have a detrimental impact, affecting both accuracy and the quality of the AI's output.