QFM036: Irresponsible AI Reading List September 2024
Everything that I found interesting about the irresponsible use of machine intelligence during September 2024
This month’s edition of the Irresponsible AI Reading List dives into the nuanced and often overlooked challenges that emerge as AI technologies become more embedded in our digital landscape. Kicking off with a deep look at the exploit chain targeting Microsoft Copilot, we encounter a reminder of the vulnerabilities inherent in sophisticated AI tools. By demonstrating how attackers can leverage prompt injections to exfiltrate sensitive data, this example illuminates the technical complexities — and risks — that accompany today’s AI advancements.
As the role of AI continues to grow, confirmation of the Reflection 70B API being powered by Sonnet 3.5 signals Meta’s ambitions to streamline access to its cutting-edge language models. This integration of powerful models and efficient APIs highlights the momentum toward AI-driven solutions that promise utility but also open questions about dependency on complex, proprietary systems. Similarly, the study on AI models’ susceptibility to scams reveals another vulnerability: chatbots can be tricked in much the same ways humans can. The findings underscore that AI’s “intelligence” often falls short of discerning…
