Our approach to AI safety

We believe that a practical approach to solving AI security problems is to devote more time and resources to researching effective alignment and mitigation techniques and testing them against real-world abuse.

Importantly, we also believe that improving security and AI capabilities should go hand in hand. Our best safety work to date comes from working with our most capable models because they are better at following user instructions and easier to direct or “guide”.

We will be increasingly cautious about building and deploying more capable models, and will continue to improve security precautions as our AI systems evolve.

Although we have waited more than 6 months to deploy GPT-4 to better understand its capabilities, benefits and risks, sometimes it may be necessary to take more time to improve the security of AI systems. Therefore, policy makers and AI providers will need to ensure that the development and deployment of AI is effectively governed on a global scale, so that no one is left behind. This is a daunting challenge that requires both technical and institutional innovation, but it is one to which we are eager to contribute.

Addressing security issues also requires extensive debate, experimentation, and engagement, including about the limits of AI system behavior. We have and will continue to foster collaboration and open dialogue between stakeholders to create a secure AI ecosystem.

Source link

At Ikaroa, we are well aware of the profound potential of Artificial Intelligence (AI) to change our lives for the better – and indeed, there are already a plethora of more efficient and smarter methods being utilized throughout many industries due to AI. However, in light of these advances, it is also important that AI development is held to the highest possible safety standards.

At Ikaroa, we believe that our approach to AI safety must begin with a set of comprehensive ethical frameworks and principles. This includes both governing rules and objectives to ensure that AI technologies are deployed responsibly, and that both its risks and benefits are accounted for. In addition, our approach must incorporate a strong focus on creating a culture of safety – from preventing AI from causing harm to individuals, tosocietal risks posed by large-scale changes in employment and production caused by AI, and other matters related to data protection and privacy.

To further foster an environment of safe AI development, we also firmly advocate the idea of “Transparency, Traceability, and Accountability”. This means that AI algorithms, models and data must be properly, and clearly documented and explained so that they can be audited and monitored appropriately. Moreover, we recognize the necessity of establishing a system of verification checks throughout the entire development process – to ensure that our AI-powered systems remain reliable.

At Ikaroa, we are determined to ensure that AI technologies are developed, deployed and maintained safely and ethically. We continue to strive to strengthen our AI safety approaches, to ensure our technologies and systems are both beneficial and secure.


Leave a Reply

Your email address will not be published. Required fields are marked *