Responsible AI

Human-Centered Design

Our AI system acts as a trustworthy assistant that augments human capabilities by delivering automatable, AI‐driven insights while ensuring that humans are aware of AI-generated outputs and remain in control. Our intuitive solutions empower users to collaborate with technology and maintain control over critical decisions.

AI Literacy and Responsible Usage

We support AI literacy and provide clear explanations of AI systems suited to users’ specific roles and contexts. Users should be aware of the opportunities and risks of AI as used within their business. This AI literacy is critical to building a culture of responsible AI use.

Transparency and Explainability 

Our AI systems are designed to be transparent and understandable. We provide documentation on data usage and decision processes for technical audiences and built-in explainability for AI recommendations and decisions. This approach builds trust, supports accountability, and empowers users to make informed choices.

Fair, Unbiased, and Non-Discriminatory 

We develop AI systems that are fair, impartial, and free from bias. We proactively identify and mitigate potential biases across our data, algorithms, and processes.

Data Security and Privacy 

Data security and privacy are paramount. We ensure confidentiality, integrity, and availability by employing industry best practices to protect data. We abide by global privacy standards and regulations. Customer data is not shared with third-party generative AI vendors for retention or model improvement; instead, it is used strictly to process the user’s request.

AI Security 

Our AI systems are designed to be secure, robust, and resilient against cyber threats, including those specific to generative AI and agentic systems. We proactively identify and address vulnerabilities through dynamic assessments, adversarial testing, and continuous risk evaluations, ensuring that our solutions remain secure by design and adaptable to emerging challenges.
 
Governance and Accountability
 
We enforce clear accountability throughout the AI lifecycle using a robust governance framework that includes continuous monitoring to quickly detect and correct any deviations from intended performance.

Applicability

We ensure that AI is introduced only where it demonstrably enhances human decision-making and delivers measurable improvements. Our litmus test is whether AI can produce outcomes that existing methods cannot achieve economically or at scale.

Sustainability
 
We are committed to environmental sustainability in both our practices and the solutions we deliver. Our AI-driven approaches are designed to help customers reduce waste, lower emissions, and achieve their sustainability goals.

Trustworthy and Reliable
 
Blue Yonder’s AI powered solutions are designed, rigorously tested, and continuously monitored to deliver trusted, reliable results.