AI Safety & Alignment Services
Building trustworthy AI systems that behave as intended and align with human values is one of the most critical challenges in modern AI development.
Looking for reliable AI Safety & Alignment Services across the UK, US, Europe, and Africa? Aya Data helps organisations deploy AI responsibly with expert safety frameworks and high-quality data you can trust.
What is AI Safety & Alignment?
- AI Safety refers to the methods and practices involved in designing AI systems that perform their intended functions without causing harm to humans or organisations. This encompasses addressing risks like biased outputs, privacy violations, and unintended actions and behaviours.
- AI Alignment is the process of ensuring AI systems’ goals and behaviours remain aligned with human values and intentions. Even highly capable AI systems can pursue objectives in ways that are technically correct but practically harmful – alignment prevents these scenarios.
As AI systems become more capable and autonomous, the stakes of achieving robust safety and alignment are increasing all the time.
Organisations that trust us
Why AI Safety & Alignment Matter More Than Ever
AI development has outpaced safety research in many areas. Recent studies show that even state-of-the-art models continue to exhibit concerning behaviours that have no fixed, straightforward solutions:
- Hallucinations: AI systems confidently generating false information that appears authoritative
- Reward hacking: Systems finding loopholes to achieve goals in unintended ways
- Value misalignment: AI optimising for metrics that don’t reflect true human preferences
- Deceptive behaviour: Advanced systems potentially learning to mislead human evaluators
As AI systems gain greater autonomy and are deployed in more critical applications – from autonomous vehicles to medical diagnosis – the critical importance of safety and alignment intensifies.
Comprehensive AI Safety & Alignment Services
For Your Business
We (Aya Data) provides comprehensive safety and alignment services designed for your organisation’s specific AI deployment needs.
Bounding Boxes
Our computer vision experts use bounding box annotation to detect and define object locations in images and videos. By carefully drawing rectangular frames around target objects, we enable machine learning algorithms to identify and track objects with precision. This essential annotation service supports various industries including medical AI, geospatial intelligence and autonomous vehicles, ensuring accurate object detection and tracking.
Polygon Annotation
Our expert annotators use polygon annotation to precisely outline objects with complex or irregular shapes. By plotting connected points along each vertex and edge, we create tight-fitting polygons that accurately capture the object’s exact silhouette. This detailed annotation method ensures maximum precision for training machine learning models, delivering superior results compared to simpler annotation techniques.
Image Segmentation
Our team specializes in image segmentation, a precise annotation method that partitions images into distinct segments at the pixel level. Each pixel is carefully assigned to predefined classes or categories, allowing for detailed identification of specific objects or areas of interest. This meticulous approach enables machine learning models to understand and process images with exceptional accuracy and detail.
Keypoint Annotation
Keypoint annotation involves precisely marking critical points of interest in images and videos, such as facial landmarks, body joints, or product features. Our annotators create detailed keypoint skeletons by connecting multiple points, enabling AI models to understand spatial relationships and object orientation. This nuanced annotation method powers various applications, from facial recognition to pose estimation and quality inspection systems.
Keypoint Annotation
Keypoint annotation involves precisely marking critical points of interest in images and videos, such as facial landmarks, body joints, or product features. Our annotators create detailed keypoint skeletons by connecting multiple points, enabling AI models to understand spatial relationships and object orientation. This nuanced annotation method powers various applications, from facial recognition to pose estimation and quality inspection systems.
Keypoint Annotation
Keypoint annotation involves precisely marking critical points of interest in images and videos, such as facial landmarks, body joints, or product features. Our annotators create detailed keypoint skeletons by connecting multiple points, enabling AI models to understand spatial relationships and object orientation. This nuanced annotation method powers various applications, from facial recognition to pose estimation and quality inspection systems.
Industry Applications
We provide high-quality data annotation services across a range of industries and use cases.
Autonomous Vehicles
Financial Services
Healthcare
Why Choose Aya Data for AI Safety & Alignment
Powering AI innovation through data annotation, data sourcing and model development.
Getting Started with AI Safety & Alignment
The complexity and nuance of AI safety mean that retrofitting safety measures after deployment is both expensive and risky. The most effective method integrates safety considerations from the earliest stages of AI development.
Whether you’re developing new AI systems or auditing existing deployments, our team can help you build the safety infrastructure needed for responsible AI deployment.
Ready to ensure your AI systems are safe and aligned? Contact us today to discuss your specific requirements and learn how our safety and alignment services can help you deploy AI with confidence.
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Frequently Asked Questions
What is AI Safety, and why is it a business-critical issue
What is AI Safety vs AI Alignment?
Why does my organisation need AI Safety & Alignment services?
What kinds of risks are addressed by AI safety & alignment?
What methods are used in AI Safety & Alignment practices?
Reinforcement Learning from Human Feedback (RLHF)
Red-teaming & adversarial testing
Robustness testing / stress testing
Value specification & ethical audits
Monitoring, oversight and fail-safes
Ongoing evaluation and safety metrics.
How do you measure whether an AI is aligned?
How do you measure whether an AI is aligned?
What regulations or ethical standards impact AI Safety & Alignment?
How much does it cost / how long does it take to implement safety & alignment for an existing AI system?
What is the ongoing maintenance / monitoring required after alignment is achieved?
Simplify Your AI Development Today!
Do you need help with Data Acquisition, Data Annotation or building a custom AI model? Aya Data is ready to partner with you. Talk to us today!
