AI ETHICS STATEMENT

At Compile7, we believe that artificial intelligence should be developed and deployed in a way that respects human autonomy, prevents harm, and promotes fairness and the well-being of all stakeholders. Our approach to AI ethics is guided by the following core principles:

These principles inform every aspect of our AI development process, from initial design and data collection to deployment and ongoing monitoring. We regularly review and refine our ethical framework to address emerging challenges and incorporate new insights from the broader AI ethics community.

We believe that users and stakeholders have the right to understand how our AI agents work, what they can and cannot do, and how they make decisions. Our commitment to transparency and explainability includes:

Clear Communication

We provide clear, non-technical explanations of our AI agents' capabilities, limitations, and intended uses. We avoid making exaggerated claims about our technology and are honest about what our AI can and cannot do.

Explainable AI

Whenever possible, we design our AI systems to provide explanations for their outputs and decisions in a way that is understandable to users. We recognize that different levels of explainability may be required depending on the context and stakes of the AI application.

Disclosure of AI Use

We ensure that users know when they are interacting with an AI agent rather than a human. We do not design our AI to deceive or manipulate users by pretending to be human.

Documentation

We maintain comprehensive documentation of our AI systems, including information about their design, training data, performance metrics, and known limitations. This documentation is made available to clients and relevant stakeholders as appropriate.

We are committed to developing AI systems that treat all individuals fairly and do not discriminate based on race, gender, age, disability, sexual orientation, religion, or other protected characteristics. Our approach to fairness includes:

Bias Mitigation

We implement processes to identify and mitigate biases in our AI systems, from data collection and model development to deployment and monitoring. We recognize that bias can enter AI systems at multiple points and requires ongoing vigilance to address.

Inclusive Design

We design our AI systems to be accessible and beneficial to a diverse range of users with different needs, abilities, and contexts. We consider potential disparate impacts on different groups throughout the development process.

Fairness Across Contexts

We recognize that fairness may have different meanings in different contexts and applications. We work with our clients to define appropriate fairness criteria for each AI implementation and develop systems that align with these criteria.

Continuous Improvement

We continuously monitor our AI systems for signs of unfair bias or discrimination and make improvements as needed. We stay informed about evolving research and best practices in AI fairness and incorporate these insights into our work.

We respect the privacy of individuals and handle personal data responsibly and in compliance with applicable laws and regulations. Our approach to privacy and data governance includes:

Data Minimization

We collect and use only the data necessary for the intended purpose of our AI systems. We avoid collecting excessive data simply because it might be useful in the future.

Informed Consent

We ensure that individuals whose data is used to train or operate our AI systems have provided informed consent for such use, where applicable. We provide clear information about how data will be used and shared.

Data Rights

We respect individuals' rights regarding their personal data, including the right to access, correct, delete, and port their data, as provided by applicable laws. We design our systems to facilitate the exercise of these rights.

Responsible Data Sharing

When sharing data with third parties, we ensure that appropriate safeguards are in place to protect privacy and security. We are transparent about our data sharing practices and only share data in accordance with our privacy policy and applicable laws.

Data Governance

We maintain robust data governance practices, including clear policies and procedures for data collection, use, storage, and deletion. We regularly review and update these practices to address emerging privacy challenges and regulatory requirements.

We believe that AI systems should remain under meaningful human oversight and control. Our approach to human oversight includes:

Human-in-the-Loop Design

We design our AI systems to include appropriate levels of human oversight and intervention, particularly for high-stakes decisions. The level of human involvement is determined by the context, potential impact, and risks associated with the AI application.

Appropriate Autonomy

We carefully consider which tasks and decisions are appropriate for AI automation and which require human judgment. We avoid automating decisions that require ethical reasoning, empathy, or complex contextual understanding beyond the capabilities of current AI systems.

Override Mechanisms

We implement mechanisms that allow human operators to override AI decisions when necessary. Our AI systems are designed to be interruptible and to defer to human judgment in ambiguous or high-stakes situations.

Training and Support

We provide training and support to help users understand how to effectively oversee and work with our AI systems. This includes guidance on interpreting AI outputs, recognizing potential errors or limitations, and knowing when to exercise human judgment.

Preventing Overreliance

We design our AI systems and user interfaces to discourage overreliance on automation. We clearly communicate the limitations of our AI systems and encourage appropriate levels of human scrutiny and critical thinking.

We prioritize the safety and security of our AI systems to prevent harm and protect against misuse. Our approach to safety and security includes:

Risk Assessment

We conduct thorough risk assessments throughout the AI development lifecycle to identify potential safety and security vulnerabilities. We implement appropriate safeguards based on these assessments.

Robustness

We design our AI systems to be robust against manipulation, adversarial attacks, and unexpected inputs. We test our systems under a wide range of conditions to ensure they perform reliably and safely.

Preventing Misuse

We implement safeguards to prevent our AI systems from being used for harmful purposes. This includes content filters, usage policies, and monitoring systems to detect and prevent potential misuse.

Secure Development

We follow secure development practices throughout our AI development process, including code reviews, vulnerability testing, and adherence to industry security standards. We regularly update our systems to address emerging security threats.

Incident Response

We maintain robust incident response procedures to address safety or security incidents quickly and effectively. This includes protocols for identifying, containing, and remediating issues, as well as transparent communication with affected stakeholders.

We consider the broader societal implications of our AI systems and strive to ensure they contribute positively to society. Our approach to societal impact includes:

Beneficial Innovation

We focus our AI development efforts on applications that address meaningful human needs and create positive social value. We prioritize innovations that help solve important challenges in areas such as healthcare, education, sustainability, and economic opportunity.

Workforce Considerations

We recognize that AI automation may impact employment and work patterns. We design our AI systems to complement human workers rather than simply replace them, and we work with our clients to implement AI in ways that support workforce transition and development.

Environmental Sustainability

We are mindful of the environmental impact of AI, particularly the energy consumption associated with training and running large AI models. We work to optimize the efficiency of our AI systems and reduce their environmental footprint.

Inclusive Access

We strive to make the benefits of AI accessible to diverse communities and avoid creating or exacerbating digital divides. We consider issues of accessibility, affordability, and digital literacy in our AI design and deployment.

Stakeholder Engagement

We engage with diverse stakeholders, including potentially affected communities, to understand their perspectives and concerns regarding our AI systems. We incorporate this feedback into our development and deployment processes.

We maintain robust governance structures to ensure accountability for our AI systems and adherence to our ethical principles. Our approach to governance includes:

Ethics Committee

We have established an AI Ethics Committee composed of diverse internal and external experts who provide guidance on ethical issues related to our AI development and deployment. This committee reviews high-impact AI projects and helps resolve ethical dilemmas.

Ethical Review Process

We have implemented an ethical review process for our AI projects, with more intensive review for high-risk or sensitive applications. This process helps identify and address potential ethical issues early in the development cycle.

Compliance

We comply with applicable laws and regulations related to AI, data protection, and privacy. We monitor regulatory developments and proactively adapt our practices to meet evolving legal requirements.

Transparency in Governance

We are transparent about our AI governance structures and processes. We regularly communicate with stakeholders about our ethical commitments and how we implement them in practice.

Industry Collaboration

We participate in industry initiatives and multi-stakeholder efforts to develop and promote responsible AI practices. We share our experiences and insights to contribute to the advancement of AI ethics across the field.

We welcome feedback, questions, and discussions about our AI ethics practices. If you have concerns, suggestions, or inquiries related to our AI ethics statement or the ethical aspects of our AI systems, please contact us at:

Our Chief Ethics Officer can be contacted directly at ethicsofficer@compile7.ai for specific ethics-related inquiries or concerns.

We are committed to continuous improvement in our ethical practices and welcome dialogue with all stakeholders. We will respond to your inquiries in a timely manner and take your feedback seriously.