On April 2, Google DeepMind unveiled a new framework for securing generative AI, emphasizing two critical risk areas: misuse and misalignment. Their focus extends towards not only current AI but also the potential future of artificial general intelligence (AGI), recognizing both its transformative possibilities and its risks. The paper outlines strategies for mitigating misuse by locking model weights, performing threat modeling, and creating tailored evaluation frameworks. DeepMind also acknowledges existing challenges like misinformation and societal consequences that could worsen with advanced AI systems.
DeepMind proposes a multipronged cybersecurity strategy for generative AI, addressing risks of misuse and misalignment as part of a comprehensive safety approach.
The organization acknowledges current misuse in generative AI, highlighting risks such as deepfakes and misinformation that could intensify with the advent of AGI.
Collection
[
|
...
]