In the rapidly evolving landscape of artificial intelligence (AI), its application in the safety sector has garnered significant attention. Natalie Porter, Chief Customer Officer of Benchmark Gensuite and an expert in safety and risk management, recently shared her insights into how AI can be strategically integrated into safety practices. Porter, who led a panel at the American Society of Safety Professionals (ASSP) Safety 2024 conference held in Denver, Colorado in August, emphasised the importance of aligning AI initiatives with specific organisational needs.
Porter expressed the imperative for businesses to assess their unique risks and align them with suitable AI solutions. "Not all AI solutions are created equal," she stated, underscoring the need to identify which areas have the most room for improvement using AI. Porter prompted her audience to consider current challenges such as ergonomic injuries or the need for improved risk assessments, which can be effectively addressed through AI-powered technologies. For instance, computer vision systems can scrutinize security footage to pinpoint safety risks, while AI chatbots can streamline training material development.
Beyond identifying specific applications, Porter advised companies to initiate small-scale proof of concept projects. Such trials allow organisations to evaluate the effectiveness and impact of AI, laying a solid foundation for future investments by demonstrating tangible outcomes. "Just do a small proof of concept to say, okay, is this truly going to move the needle on that critical business need or risk that I’m trying to analyze?" she suggested.
While the prospect of AI in safety is promising, Porter acknowledged existing concerns, particularly around data privacy and security. Companies might be wary of incorporating AI due to apprehensions about the handling of sensitive information. To mitigate these issues, Porter recommended employing robust data protection measures and ensuring clear communication with employees about AI's use and data handling. She mentioned tactics like utilising the back-end of AI platforms via APIs to ensure data security.
Highlighting a shift towards more secure AI frameworks, Porter shared that Benchmark Gensuite is transitioning to Amazon's AWS Bedrock platform, which allows using AI solutions such as Claude in a secure, internal network. This move addresses the privacy concerns while fulfilling data protection requirements.
In summary, Porter's insights stress a methodical approach to AI adoption within safety sectors, focusing on concrete business outcomes. She recommended businesses clearly define their primary challenges and desired goals to avoid being overwhelmed by the broad scope of AI technology. For example, AI's role in data analysis can significantly enhance safety outcomes by enabling safety leaders to focus on actionable insights rather than sifting through unreliable data. Overall, Porter's insights emphasise AI's potential to transform safety protocols by providing innovative solutions tailored to specific business challenges.
Source: Noah Wire Services