Embracing Transparency in AI

Transparency in AI use is vital in fostering trust and ensuring ethical practices. At Akitra, we recognize the importance of being open about our AI processes and initiatives. As more companies leverage AI, it becomes essential for them to be transparent about their use. One effective way to achieve this is through a Trust Center, where companies can openly communicate their AI practices and policies to build trust and accountability. OpenAI has set a standard through its Trust Center, and we aim to uphold similar principles at Akitra.

OpenAI's Example of Transparency

OpenAI's commitment to transparency is exemplified through its Trust Center, accessible at trust.openai.com. This platform provides comprehensive insights into its AI practices, safety measures, and governance frameworks. By openly sharing its methodologies and ethical guidelines, OpenAI fosters trust and accountability, setting a benchmark for the industry.

Akitra's Commitment to Transparency

At Akitra, we are dedicated to maintaining a high level of transparency through our Security & AI Trust Center, accessible at trust.akitra.ai. The Trust Center provides detailed information about our AI practices, ensuring stakeholders are well-informed and confident in using AI technologies. Through the Trust Center, you can request policies and documents about AI governance, risk management, and security. Moreover, we are not just offering this service to our customers; we also utilize the Trust Center internally to uphold our own standards of transparency and accountability.

AI Safety

Ensuring the safety of AI systems is a critical aspect of our operations. We prioritize the development and implementation of robust safety measures to protect both our users and our AI models.

AI Governance

Our AI Governance framework is designed to ensure the responsible use of AI across our Continuous Compliance SaaS platform. Key elements of our framework include:

• Policy Development: Establishing and enforcing comprehensive policies that guide the use of AI within our organization.
• Ethical Guidelines: Adhering to strict ethical standards to ensure fair and unbiased use of AI technologies.
• Compliance: Maintaining compliance with all relevant regulations and industry standards, ensuring our AI practices are legally sound and ethically responsible.

AI Risk Management

Proactively managing AI-related risks is essential to ensuring the security and reliability of our services. Our risk management practices encompass:

• Risk Register: Maintaining a comprehensive register tailored to the deployment scenarios of Large Language Models (LLMs).
• Risk Identification: Identifying and documenting potential risks associated with using self-hosted LLMs, cloud service provider-provided LLMs, and public LLMs.
• Risk Mitigation: Instituting appropriate controls and mitigation strategies to manage identified risks effectively.

AI Security

AI Security is integral to safeguarding our AI systems and data. Our approach includes:

• Data Protection: Ensuring all data processed by AI models is secure and private, protecting user information and maintaining confidentiality.
• Model Security: Protecting AI models from adversarial attacks and ensuring their integrity.
• Continuous Monitoring: Implementing continuous monitoring to detect and respond to any security threats in real-time, ensuring our AI systems remain secure and resilient.

Conclusion

Transparency in AI use is not just a regulatory requirement but a moral imperative. By openly sharing our AI practices and safety measures, we at Akitra aim to build trust and confidence among our customers and partners. Visit our Trust Center at trust.akitra.ai to learn more about our commitment to responsible AI use and our ongoing efforts to ensure AI safety, governance, risk management, and security.