ACCESS-AI: Accelerating AI Integration in Workplace Health and Safety

Overall Summary ACCESS-AI is designed to assist businesses in adopting AI for health and safety improvement. The program focuses on a Proof of Concept (PoC) phase to test AI solutions in controlled environments, ensuring they align with business goals and are feasible before full-scale deployment. Key steps include identifying use cases, analyzing data, developing preliminary models, and evaluating their impact on operations. It features the GenAISafety Sandbox, a secure environment for experimenting with AI tools. An example project on construction sites showed the program’s effectiveness in using AI for monitoring safety compliance and prioritizing risks. This pilot highlighted the potential to reduce workplace incidents while identifying opportunities for refinement before broader implementation. The program supports businesses at any stage of their AI journey, combining mentoring, data preparation, and modular services. It minimizes risks, reduces costs, and enhances decision-making for safer, more efficient workplaces. Summary Comprehensive Program: ACCESS-AI integrates PoC and Sandbox approaches to test and validate AI solutions in workplace safety. Proof of Concept (PoC): This phase assesses the feasibility of AI solutions, reducing risks by testing them in a controlled setting before full deployment. Data Preparation: Ensures quality and completeness of data, addressing gaps to optimize AI functionality. Real-World Pilots: Demonstrated success in construction safety compliance using IoT and computer vision technologies. AI Expertise Building: The program includes mentoring to transfer AI knowledge and skills to internal teams. Modular Services: Businesses can engage in specific stages of the program depending on their AI maturity. Secure Testing: The GenAISafety Sandbox provides a safe, interactive space for AI experimentation. Cost Efficiency: Minimizes costs by identifying and addressing issues during the testing phase.