OpenAI recruits red teams around the world to explore potential risks in the system
OpenAI has proclaimed its intention to enlist members for red team exercises from regions worldwide, aiming to unearth potential issues and security risks within artificial intelligence systems by tapping into external expertise. Concurrently, word has it that OpenAI intends to launch its multimodal large-scale natural language model dubbed GPT-Vision, with subsequent plans to unveil an even larger iteration known as Gobi, positioning itself as a contender against similar models planned by industry giants like Google.
Just as many cybersecurity entities employ red teaming to discern latent vulnerabilities and security gaps in systems, OpenAI, too, is poised to leverage such exercises to pinpoint potential hitches during AI operations, including scenarios where it might be harnessed for malicious endeavours.
Given the myriad uncertainties surrounding artificial intelligence technology, it becomes imperative to ensure the foundational operational safety of AI. Equally vital is the need to ascertain potential application issues in diverse sectors such as cognitive knowledge, politics, humanities, education, law, finance, data privacy, and the moral realm.
OpenAI has been actively recruiting experts across these domains, hoping that a melding of varied talents and the red teaming process will bolster the security of their AI services, thereby mitigating potential application risks.
All team members participating in the red team exercises are obligated to sign nondisclosure agreements or to refrain from divulging any details until the relevant technology is officially disclosed.
In reality, prior to the formal launch of any large-scale natural language model by OpenAI, rigorous red teaming exercises have always been undertaken to ensure the model’s safe use. This expanded global recruitment for red teaming signals OpenAI’s unwavering commitment to bolstering the security framework around its AI technologies.
Furthermore, according to sources from The Information, OpenAI might potentially unveil its multimodal large-scale natural language model, GPT-Vision, ahead of Google’s planned release of its model, Gemini. Subsequent plans might also entail the introduction of an even grander multimodal model, tentatively christened Gobi.
In the impending AI technological race, multimodal large-scale natural language models will undoubtedly play a pivotal role. These models enable AI to assimilate multifaceted information inputs simultaneously, subsequently auto-generating diverse content outputs. This is a marked evolution from early AI capabilities which solely responded to individual content prompts. The trajectory suggests that future AI will be adept at concurrently processing and responding to multiple content streams.
