Responsible AI & Ethics

At Programmatic LLC (“Programmatic,” “we,” “us,” or “our”), we believe artificial intelligence should be developed and deployed responsibly, transparently, and in a manner that benefits people, businesses, and society. This page outlines our approach to Responsible AI and ethical technology use.

Our Responsible AI Principles

Our Responsible AI framework is guided by widely recognized ethical and governance principles:

Human-Centered Design
AI systems should augment human decision-making, not replace accountability.
Fairness and Non-Discrimination
We aim to reduce bias and avoid discriminatory outcomes in AI systems.
Transparency and Explainability
AI outputs should be understandable to appropriate stakeholders where feasible.
Privacy and Data Protection
Personal data is handled in accordance with applicable privacy laws and contractual obligations.
Security and Reliability
AI systems should be resilient, secure, and fit for their intended purpose.
Accountability
Clear responsibility must exist for AI design, deployment, and outcomes.

Ethical AI Development

Programmatic integrates ethical considerations throughout the AI lifecycle:

Problem definition and use-case evaluation
Data sourcing and preparation
Model development, testing, and validation
Deployment, monitoring, and refinement

We assess potential risks related to bias, misuse, data quality, and unintended consequences.

Data Governance in AI Systems

We apply data governance practices designed to support responsible AI outcomes:

Lawful and transparent data usage
Data minimization and purpose limitation
Access controls and confidentiality safeguards
Appropriate retention and deletion practices

Data handling practices are governed by our Privacy Policy and Data Privacy & GDPR commitments.

Bias Awareness and Mitigation

While no AI system is entirely free of bias, we strive to:

Identify potential sources of bias in training data
Apply testing and validation techniques to evaluate outcomes
Support human oversight and review of AI-driven decisions

Clients remain responsible for final business decisions made using AI outputs.

Human Oversight and Control

AI systems developed or deployed by Programmatic are designed to support human oversight, including:

Configurable workflows and approval mechanisms
Escalation paths for high-impact decisions
Clear documentation of system behavior and limitations

Transparency and Client Collaboration

We work collaboratively with clients to:

Define acceptable AI use cases
Communicate system capabilities and limitations
Address ethical, legal, and regulatory considerations

Documentation and disclosures are provided as appropriate to the engagement.

Regulatory Awareness

Programmatic monitors evolving AI-related laws and frameworks, including:

GDPR and data protection regulations
Emerging AI governance and risk management standards
Industry-specific AI guidance

Compliance obligations are addressed contractually based on service scope, geography, and deployment model.

Prohibited and High-Risk Uses

Programmatic does not knowingly support AI use cases intended to:

Violate applicable laws or regulations
Enable unlawful surveillance or discrimination
Infringe fundamental human rights
Cause intentional harm or deception

Continuous Improvement

Responsible AI is an ongoing process. We regularly review practices, tools, and methodologies to adapt to new risks, technologies, and regulatory expectations.