AI-based information risk assessment is allowing companies to mitigate potential security risks and even predict future attacks with greater speed and accuracy than they could ever achieve through manual processes.
The focus is now turning to the cybersecurity implications of ChatGPT and other AI/machine learning (ML) platforms especially after the recent OpenAI security incident. What are some of the key security considerations that organizations need to consider before they explore how to utilize new AI/ML solutions?
As with most technological developments, there are two sides of the coin. ChatGPT may present businesses with a never-ending pool of opportunities, but the same resource can be exploited to help criminals infiltrate systems more effectively.
ChatGPT has answers for almost everything, but there’s one answer we may not know for a while: will this tool turn out to be the genie its creators regret taking out of the bottle over unintended consequences in AI for cybersecurity?
Over half of organizations are building their AI governance approaches on top of existing and mature privacy programs. But while the commitment is often there, the tools and skills may not be as the workforce only just begins to develop.
As end users express a preference for transparency, organizations are focusing first and foremost on compliance as a means of gaining customer trust. And in the realm of AI, consumers are expressing a strong desire to opt out.
The use of AI in HR is becoming increasingly popular as organizations look for ways to streamline and automate their HR processes. What are some of the risks related to privacy, bias, and employment law? Here's some best practice advice on how organizations can use AI in HR in a responsible and ethical manner.
It’s critical to change employee training about cybersecurity. AI platforms can help address the technical aspects of security concerns, as well as the human ones. This can be done through extensive employee training, specifically catered to determine what points need extra attention.
There's a common misconception that the AI label automatically makes a cybersecurity solution better when that's far from the truth. Organizations don't need AI or ML tools to improve cybersecurity.
White House “Blueprint for AI Bill of Rights” Creates a Potential Path to Legal AI Ethics Guidelines
The White House AI bill of rights stipulates five guiding principles meant to govern design and deployment: system safety, protection from discrimination, data privacy, notice and explanation, and human alternatives.
