Our Commitment to Ethical AI
At eye, we understand that the power of artificial intelligence comes with significant responsibility. Our Trust & Safety division is dedicated to ensuring that our memory-based AI systems adhere to the highest ethical standards while delivering innovative solutions. We believe that establishing trust is fundamental to the adoption and beneficial impact of advanced AI technologies.
Our approach to AI development is guided by six foundational principles that shape everything we do:
We design our AI systems to augment human capabilities, not replace them. Our technologies aim to empower people, allowing them to make informed decisions while preserving human autonomy and oversight. We believe in creating systems that work alongside humans in a complementary fashion, enhancing creativity, productivity, and problem-solving abilities.
We are committed to developing AI systems that operate transparently. Users should understand how our memory modules make decisions and form connections. When our systems provide recommendations or take actions, the reasoning behind these processes should be accessible and comprehensible to users, avoiding "black box" scenarios that undermine trust.
Our AI systems are designed to serve diverse populations equitably. We actively work to identify and mitigate biases in our training data and algorithms to ensure our technologies perform fairly across different demographic groups. We believe AI should help bridge social divides rather than reinforcing or amplifying existing inequalities.
Respect for privacy is central to our memory-based AI systems. We implement robust data protection measures, practice data minimization, and provide users with control over their personal information. Our episodic memory modules are designed with privacy as a fundamental requirement, ensuring that sensitive information is handled with appropriate safeguards.
We develop our AI systems with multiple layers of safety measures. This includes rigorous testing for potential risks or harmful outputs, regular security audits, and continuous monitoring. Our technology implements appropriate content filtering and we maintain human oversight of our systems to prevent misuse.
We take responsibility for the AI systems we develop. This includes establishing clear lines of accountability, conducting thorough impact assessments before deployment, and implementing feedback mechanisms to address issues that arise. We are committed to ongoing evaluation and improvement of our technologies based on real-world performance.
To implement these principles, we've developed a comprehensive safety framework that includes:
Before deploying any new AI memory technology, we conduct thorough risk assessments to identify potential harms or unintended consequences. This process includes testing for robustness against adversarial attacks, evaluating performance across diverse scenarios, and analyzing possible failure modes.
We provide clear documentation and educational materials to help users understand how our AI systems work, their capabilities, and their limitations. This transparency helps prevent misuse and builds informed trust in our technologies.
We maintain multiple channels for users and stakeholders to provide feedback on our AI systems, report concerns, and suggest improvements. This input is integral to our continuous improvement process.
We regularly engage independent experts to audit our systems and practices, ensuring we meet the highest standards of ethical AI development and deployment.
The field of AI ethics is evolving rapidly, and we are committed to evolving with it. We actively participate in industry-wide discussions, collaborate with academic researchers, and engage with policymakers to help shape ethical standards for AI development.
Our Trust & Safety initiatives are not static – they represent an ongoing commitment to responsible innovation. We believe that ethical considerations should be embedded throughout the AI development lifecycle, from initial research to deployment and beyond.
By placing trust and safety at the center of our work, we aim to develop AI memory systems that not only advance technological capabilities but also contribute positively to society. We invite users, partners, and the broader community to join us in this commitment to creating beneficial, trustworthy AI for all.