Learn About AI Safety & Risks
Develop Skills and Ensure Trust in AI Applications
Every day, we interact with AI, from smartphones to industrial software systems, which brings advantages like enhanced services, increased efficiency, and lower costs via automation. Yet, AI systems carry risks, including data bias, algorithm choice, and cyber-physical system security. Users, developers, and stakeholders must grasp these risks, even for personal tasks like essay writing with advanced language models. The RaiDOT platform educates users on responsible AI, fostering understanding and trust by focusing on four critical elements: bias detection, algorithm selection, system security, and operational assurance.
The Risks and Uncertainty of
Application of AI
Software Risks
- Bias & Discrimination of Data
- Algorithm and Model Selection
- Cyberattacks to AI-Driven Systems
- Ripple Effect on Fair Decision
Hardware Risks
- Physical Harm Potential (Robots & IoT Devices)
- Malfunctions & Failures of adaptive systems
- Cyber-Physical System Attacks
- Robustness, Reliability and Safety Assurance
Ethical Issues
- Biased Data for Decision
- Privacy Concerns
- Discrimination and Fairness Issues
- Lack of Transparency
Legal Compliance
- Compliance with Industrial Regulations
- Adherence to Government Laws
- Compliance with Medical Approval Processes
- Adapting to Evolving Regulations like EU AI Act
The Role of RaiDOT
At RaiDOT, we partner with you on your AI safety and operational assurance journey by providing the human expertise and intuitive tools you need to assess and manage your AI systems confidently. Our team works alongside yours to bridge the gap between innovation and safety, empowering your customers and staff to identify risks, develop strategies for secure AI-driven software, and confidently embrace responsible AI technologies. We're here to simplify your AI safety by turning complex technical problems into clear, practical solutions that protect your business, customers, and long-term growth.
