AI Ethics Policy

Human-Centricity and Well-being

AI systems developed and used by Nexartis LLC will prioritize human well-being, respect fundamental human rights, and uphold individual freedoms. We are committed to designing AI that enhances human capabilities, empowers individuals, and contributes positively to society, without diminishing human autonomy or causing harm. This means ensuring AI systems do not unfairly control, deceive, manipulate, or herd humans.

Fairness and Non-Discrimination

We are dedicated to developing and using AI systems that ensure fair and equal treatment for all individuals and groups. We actively identify, assess, and reduce biases throughout the AI lifecycle, from data collection and algorithm design to deployment and outcome evaluation. We strive to prevent any form of discrimination, whether intentional or unintentional, and to promote inclusive results for all users.

Transparency and Explainability

Our AI systems will operate with high transparency and explainability. We will work to make the operation of AI systems, their decision-making processes, and their capabilities understandable to relevant stakeholders. This includes providing clear and accessible explanations for AI-driven outcomes, especially when decisions significantly impact people's lives. While the level of explainability may vary based on the system's complexity and application, we will always aim for appropriate disclosure.

Accountability and Governance

We will establish clear responsibilities and accountability for the ethical design, development, deployment, and ongoing management of our AI systems. Strong governance frameworks will be put in place to ensure adherence to these ethical principles, including mechanisms for oversight, risk management, and addressing issues. Individuals and teams involved in the AI lifecycle will be held accountable for upholding this policy.

Safety, Security, and Robustness

Our AI systems will be technically robust, secure against malicious attacks, and safe to operate. We are committed to minimizing unintended consequences, potential risks, and vulnerabilities throughout the AI lifecycle. This includes rigorous testing, continuous monitoring, and proactive measures to ensure the reliability and integrity of our AI solutions.

Privacy and Data Governance

Data collection, use, storage, and management within our AI systems will strictly follow privacy principles and applicable data protection regulations. We are committed to ensuring data integrity, implementing strong security measures, and establishing clear access controls to protect personal and sensitive information. Our practices will align with principles of data minimization, purpose limitation, and user consent.

Ethical Design and Development

Ethical considerations will be built into every AI project from the start. This includes:

• Problem Definition: Clearly defining the problem AI is meant to solve, considering potential societal impacts and ensuring alignment with ethical principles.
• Data Sourcing and Preparation: Implementing strict processes for data collection, curation, and labeling to ensure data quality, representativeness, and to reduce potential biases. Privacy-by-design principles will be crucial.
• Algorithm Selection and Training: Choosing algorithms and training methods that promote fairness, transparency, and robustness. We will regularly audit models for unintended biases and performance differences across various demographic groups.
• Human-in-the-Loop: Where appropriate, designing AI systems to include meaningful human oversight and intervention, allowing for human judgment and correction of AI decisions.

Risk Assessment and Mitigation

A systematic approach to identifying, assessing, and reducing ethical risks will be part of every stage of AI development and deployment. This includes:

• Ethical Impact Assessments (EIAs): Conducting thorough EIAs for all new or significantly modified AI systems to identify potential ethical risks, including those related to bias, privacy, security, and societal impact.
• Bias Detection and Remediation: Using tools and methods to detect and measure algorithmic bias, and implementing strategies to reduce identified biases, such as re-balancing datasets, adjusting algorithms, or re-evaluating model outputs.
• Security and Privacy by Design: Building security and privacy safeguards directly into the architecture and design of AI systems to protect against data breaches, unauthorized access, and misuse of information.
• Transparency and Communication: Clearly communicating the capabilities, limitations, and potential risks of AI systems to users and affected stakeholders.

Stakeholder Engagement

We recognize that diverse perspectives are important for shaping ethical AI. We will actively engage with a wide range of stakeholders throughout the AI lifecycle, including:

• Internal Teams: Fostering collaboration among technical, legal, ethical, and business teams to ensure a comprehensive approach to AI ethics.
• Affected Communities: Seeking input from communities and individuals who may be directly impacted by our AI systems to understand their concerns and incorporate their feedback into our design and deployment processes.

AI Ethics Officer

An AI Ethics Officer will be appointed. This office will be responsible for:

• Policy Interpretation and Guidance: Providing authoritative interpretations of this policy and offering guidance on complex ethical dilemmas related to AI.
• Ethical Review of AI Projects: Reviewing and approving AI projects, especially those with significant ethical implications, to ensure they align with this policy and best practices.
• Risk Management Oversight: Overseeing the identification, assessment, and reduction of ethical risks across all AI systems.
• Stakeholder Engagement: Facilitating engagement with internal and external stakeholders on AI ethics matters.
• Policy Updates: Recommending updates and revisions to this policy to reflect technological advancements, evolving societal norms, and new regulatory requirements.

Incident Response and Redress Mechanisms

Clear procedures will be in place for reporting, investigating, and resolving ethical incidents or concerns related to AI systems. This includes:

• Reporting Channels: Establishing accessible and confidential channels for employees, users, and the public to report ethical concerns or potential harms caused by AI systems.
• Investigation and Remediation: Promptly investigating reported incidents, identifying root causes, and implementing effective solutions.
• Redress Mechanisms: Providing ways for individuals to seek solutions for harms caused by AI systems, including opportunities for review, correction, or compensation where appropriate.

Reporting Violations

Any suspected violations of this policy should be reported immediately through the established reporting channels, as outlined in Section 5.3. All reports will be treated confidentially and investigated promptly and thoroughly. Retaliation against individuals who report concerns in good faith is strictly prohibited.

Disciplinary Actions

Violations of this policy will be addressed through a fair and consistent disciplinary process. The severity of disciplinary action will depend on the nature and impact of the violation, ranging from mandatory retraining and corrective actions to suspension or termination. Legal action may also be pursued where appropriate.

Regular Policy Reviews and Updates

This policy will undergo regular, comprehensive reviews, at least annually, led by the AI Ethics Officer. These reviews will consider:

• Technological Advancements: How new AI capabilities and applications affect existing ethical considerations.
• Regulatory Changes: Updates to national and international laws, regulations, and industry standards related to AI and data governance.
• Societal Feedback: Insights from stakeholder engagement, public discussions, and emerging ethical challenges identified through our internal processes.

Based on these reviews, the policy will be updated to ensure its continued relevance, effectiveness, and alignment with best practices.

Fostering an Ethical Culture

Beyond formal policies and procedures, we are committed to fostering a strong ethical culture throughout Nexartis LLC. This involves:

• Leadership Commitment: Demonstrating unwavering leadership commitment to ethical AI, setting the tone from the top.
• Open Dialogue: Encouraging open and honest discussions about ethical dilemmas and challenges in AI development and deployment.
• Recognition and Rewards: Recognizing and rewarding individuals and teams who champion ethical AI practices and contribute to our responsible AI initiatives.