Artificial Intelligence (AI) Applications in EHS

Artificial Intelligence (AI) is a topic on everybody’s mind lately because there is so much uncertainty about what the future of AI holds. Some experts are excited about the many possibilities AI presents, while others are fearful about how it could replace humans in the workforce. In reality, the effects of AI will likely vary based on job type, industry, and the way individual companies approach using AI. The implementation of AI needs to be done with thoughtful consideration of how best to use this emerging technology without sacrificing the unique human component. If used properly, AI can offer a multitude of possibilities for improving efficiency and productivity in the workplace. With all the many questions surrounding AI today, one of the most important questions we can ask is: How can we make AI work for us? 

In its most basic definition, Artificial Intelligence (AI) is the utilization of computer systems to perform tasks that typically require human intelligence, like problem-solving or decision-making. There are many types of AI with capabilities often classified under two main categories: Strong AI, which is still theoretical but aims to match or even go beyond human intelligence, and Narrow AI, which performs specific tasks, such as voice assistants and search engines. Within the umbrella of Narrow AI, there are many available technologies that can be applied to the world of EHS today.  

Here, we will discuss different ways that AI can be integrated into EHS practices, so that your company can devote more time and energy to growing in sustainable ways.  

Advanced Data Analytics  

One important application of Artificial Intelligence (AI) in EHS is the automation of data analytics. With AI, companies can collect, manage, and track large volumes of data. AI can identify trends and patterns within datasets and flag any anomalies. By automating this process, companies can reduce the time and resources required for data analytics, thereby increasing efficiency and decreasing costs. This approach to data analytics provides companies with a comprehensive understanding of their data, granting them more confidence in decision-making and the ability to make timely changes to ensure the company is on-track with targets for regulatory thresholds, risk reduction and sustainability goals.  

Risk Assessment  

AI can be used to identify, assess, and mitigate EHS-related risks in the workplace. Companies can easily identify any anomalous data trends that may otherwise go unnoticed but could lead to risk, thus enabling companies to take prompt action and mitigate any potential risks. With this data-driven approach, risk assessment is more accurate, and companies will be able to tailor their risk management strategies to their specific needs. AI’s ability to track patterns and trends in risk assessment can be used for predictive modeling to better prepare for future risks and take preventative action. Additionally, this approach allows companies to identify opportunities for growth and innovation.   

Regulatory Compliance  

Regulatory compliance becomes more streamlined with AI, as it can centralize data for accurate and up-to-date reporting. AI can also provide insights into compliance status by monitoring EHS performance metrics and progress toward targets across the entire value chain. With this information, companies can be well prepared for audits, which enhances regulatory compliance and creates a company culture of responsibility in EHS practices. AI will empower companies to proactively address any potential compliance issues, thus minimizing risks and avoiding penalties.  

Furthermore, AI will assist companies in maintaining compliance efforts in the long term. AI systems can be continually updated with the latest information on regulations and policies so that companies can confidently navigate the oftentimes complex regulatory landscape.  

Generative AI 

Generative Artificial Intelligence (AI) refers to the creation of text, images, video, audio, or code using AI. Generative AI can be applied to EHS in different ways. For example, a language model such as ChatGPT or Bard could summarize and highlight key points from EHS regulations, policies and procedures to facilitate communications for employees and create audit plans.  Another application is AI can quickly analyze open-ended questions in employee surveys about safety and the environment without the need to limit survey participants to specific answers while still providing valuable summaries of key survey results from employees discussing workplace safety conditions or environmental improvement initiatives. There is so much potential for how generative AI can be another tool to help meet EHS goals. 

While generative AI is very useful, it also has its limitations. AI models only have access to a finite amount of data, and responses are also not always 100% accurate. A recommended approach is using generative AI as a starting point. AI can create templates, outlines, and more to streamline basic parts of tasks. Users can then edit and add more nuanced and specific information for a more efficient and accurate approach. 

Capaccio’s EHS-Dashboard™ 

Capaccio’s EHS-Dashboard™ is a prime example of how companies can utilize AI to help achieve EHS goals. The EHS-Dashboard™ is a one-stop solution for automating data analytics and risk assessment, as well as ensuring regulatory compliance. This customizable, cloud-based system centralizes data collection and management for simplified reporting and auditing processes. Designed by EHS professionals for EHS professionals, the EHS-Dashboard™ addresses the specific challenges faced by this industry, positioning companies for success in environmental, social, and financial areas. 

Some specific capabilities of the EHS-Dashboard™ include automated monitoring, tracking performance metrics, analyzing impacts of projects toward EHS targets, incident reporting, near-miss analysis, and much more. Schedule a demo to learn more about how the EHS-Dashboard™ can increase efficiency and productivity, leaving your company with more time to spend on strategic planning for the future.