AI Safety and You: Perspectives on Evolving Risks and Impacts

AI deployments are accelerating, plunging deeper into the systems we use daily. As the flag of innovation is waved atop the mountain of compute, one topic missing from the conversation is safety. AI Safety is often framed as the spirit animal of the existential risk crowd, making it appear as though it has little relevance unless you think AI will wipe out humanity, but this couldn't be further from the truth. As AI technology gets closer to us, more ingrained in our systems, and opaque algorithms used to make critical decisions, we must ensure these systems are safe to use. Various harms can manifest from these deployments. Not addressing AI safety almost ensures these harms emerge, affecting not only the organizations deploying these technologies but also the humans that use them.
AI safety isn't a topic constrained to the purview of academia and government but a responsibility of organizations building and deploying AI solutions. So, what are the harms? What are an organization's responsibilities related to AI Safety? How are AI safety and AI Security related? In this discussion, we dispel myths about AI safety and discuss the challenges and responsibilities of companies building and deploying AI technologies. We also examine the role of security professionals in this new area and deliver valuable food for thought to get started.
By:
Nathan Hamiel | Senior Director of Research, Kudelski Security
Amanda Minnich | Senior Red Team TL, Microsoft
Nikki Pope | Senior Director, AI and Legal Ethics, NVIDIA
Mikel Rodriguez | Research Scientist, Google Deepmind
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