AI Ethics Policy

Last updated: October 10, 2025

Synergetics.ai: Responsible AI & Governance Framework

The rise of agentic artificial intelligence represents a pivotal moment in technological history. It holds the promise to redefine industries, accelerate scientific discovery, and augment human potential in unprecedented ways. At Synergetics.ai, our mission is to place the power of this technology into the hands of innovators everywhere.

However, we recognize that with great power comes a profound and non-negotiable responsibility. Trust in AI is not a given; it must be earned through rigorous design, transparent processes, and an unwavering commitment to ethical principles. Innovation cannot come at the cost of safety, fairness, or accountability.

This document is our commitment made manifest. It is not a static list of ideals, but a detailed, operational framework that guides every decision we make—from the code we write and the products we build, to the way we partner with our customers and the broader community. It is our blueprint for building a future where AI serves humanity, responsibly.

1. Our Approach: A Multi-Pillar Framework

Our Responsible AI Framework is built on four integrated pillars designed to provide comprehensive oversight and operationalize our ethical commitments throughout the entire AI lifecycle.

• Pillar I: Governance & Accountability: The structure of human oversight and control.
• Pillar II: Regulatory Compliance & Readiness: Our commitment to global legal standards.
• Pillar III: Security & Privacy by Design: The technical foundation for protecting data and systems.
• Pillar IV: Core Ethical Principles: The values that guide our actions.

2. Pillar I: AI Governance & Accountability

Effective governance ensures that ethical considerations are not an afterthought, but a foundational component of the AI lifecycle. We employ a “Hub-and-Spoke” model to ensure robust oversight and distributed responsibility.

2.1 The AI Ethics & Safety Board (AESB)

The “hub” of our model is a central, cross-functional board with executive authority.

• Mandate: To set and maintain our AI ethics policies, conduct high-risk reviews for sensitive use cases (both internal and client-facing), guide product development, and act as a final point of escalation for ethical concerns.
• Composition: The AESB includes senior leaders from Legal, Engineering, Product, Security, and Public Policy, and is supported by a panel of external academic and industry advisors to ensure diverse perspectives.

2.2 AI Impact Assessment (AIA) Framework

Before the development of any new significant AI feature or agentic capability, teams must complete a mandatory AIA. This structured process includes:

1. Screening & Scoping: Defining the intended use case, context, and potential societal or individual impact.
2. Risk Assessment: Systematically identifying potential risks across all ethical principles (e.g., fairness, safety, privacy). This includes red-teaming exercises to uncover unforeseen failure modes.
3. Mitigation Plan: Documenting the concrete technical and procedural steps that will be taken to address identified risks.
4. Review & Approval: The AIA is reviewed by team leadership and, for high-risk applications, by the AESB.

2.3 Lifecycle Governance Integration

Our platform tools, particularly LangCertify, are designed to embed governance directly into the AI development lifecycle, ensuring a persistent audit trail from conception to retirement.

3. Pillar II: Regulatory Compliance & Readiness

We are committed to full compliance with global legal frameworks and design our platform to help our clients meet their own complex regulatory obligations.

4. Pillar III: Security & Privacy by Design

Trustworthy AI must be secure AI. We integrate security and privacy principles deep into the architecture of our platform, protecting both the models and the data they process.

4.1 The AI Security Triad

• Confidentiality: We employ robust encryption for data in transit and at rest, utilize strict access controls, and research techniques to prevent the extraction of sensitive training data from our models.
• Integrity: We implement defenses against data poisoning, model evasion, and other adversarial attacks that could corrupt AI behavior. Our LangTest suite includes tools for adversarial robustness testing.
• Availability: We build resilient, fault-tolerant systems to ensure our AI services are reliably available and can withstand denial-of-service attacks.

4.2 Privacy-Enhancing Technologies (PETs)

We are actively researching and integrating PETs into our platform to provide our clients with the strongest possible privacy guarantees for their sensitive data. This includes exploring techniques like federated learning and differential privacy where applicable.

5. Pillar IV: Our Core Ethical Principles

These principles are the soul of our framework, defining the ethical standards we strive for in everything we build.

• Fairness & Inclusivity: AI should promote equitable outcomes.
  • Our Action: We provide tools for measuring and mitigating demographic bias, conduct fairness audits using established metrics, and build our systems on diverse and representative datasets wherever possible.
• Transparency & Explainability: The “why” behind an AI’s decision should be accessible.
  • Our Action: We are committed to producing comprehensive transparency artifacts. Our platform helps generate Model Cards (detailing a model’s performance characteristics) and System Cards (explaining the behavior of a complete AI agent system).
• Reliability & Safety: AI must function as intended and be safe to operate.
  • Our Action: Our safety protocol is grounded in rigorous testing. We conduct continuous internal and external Red Teaming to proactively discover and fix vulnerabilities, failure modes, and potential misuse scenarios before they have a real-world impact.
• Human-Centricity: AI should augment, not replace, human judgment.
  • Our Action: We champion Meaningful Human Control. Our platform enables the design of systems with different levels of human oversight—from human-in-the-loop for critical tasks to human-on-the-loop for monitoring—ensuring final accountability rests with a person.

6. Prohibited Uses of Our Platform

Synergetics.ai explicitly prohibits the use of its platform for applications whose primary purpose is to cause harm or violate human rights. This includes:

• Weapons and Violence: Developing or deploying autonomous weaponry.
• Violation of Human Rights: Conducting mass surveillance in violation of internationally accepted norms.
• Deception and Disinformation: Creating systems designed to spread malicious disinformation or engage in large-scale fraud.

This framework is a living document, subject to continuous review and improvement. We are committed to working collaboratively with the entire AI community to build a future that is not only intelligent but also wise, safe, and just.