Artificial Intelligence and DEI

Artificial Intelligence’s (AI) role in the field of engineering is revolutionary. It enables the industry to streamline the design process, elevate product quality, and optimize workflows, setting new benchmarks in engineering excellence. However, like any new tool, AI comes with both opportunities and risks-- particularly when it comes to DEI and ethics.

One of the major risks of using AI in the workplace is bias. Many AI tools were trained on publicly available online data. This online data includes harmful and biased content, which influences AI outputs. Publicly available data could also be incorrect, leading AI to draw false conclusions. This is a difficult balance as AI enables more equitable access to information, but this could lead to safety concerns if the information is incorrect or misleading. 

In addition, when companies develop AI models using their own data, the AI may identify patterns of bias and discrimination that exist in the workplace. Without DEI-conscious development, AI can return outputs that can perpetuate and even exacerbate these biases. For example, if an AI model is being used to evaluate resumes for an engineering job, it may use existing individuals in that position as a model. This could lead the AI to exclude candidates from underrepresented groups when selecting from a resume pool—further excluding these groups based on keywords unique to that demographic. 

Data privacy and security are also a concern. Without the right controls in place, connecting AI to company systems may put employee data privacy and security at risk. AI vendors might collect, sell or mishandle personal information from customers and employees.

Although there are risks, AI can also be a massive benefit to workplace DEI efforts. The tool can be used to improve the hiring and performance management process, detect bias in content, and identify patterns of discrimination. AI can incorporate more inclusive language into job descriptions, employee engagement materials, performance rubrics, and more. AI can also help companies identify and address any latent biases inside the organization. 

In addition, AI can also help with accessibility. Generated captions for meetings, videos and photos, as well as improved notetaking capabilities, are beneficial not only for those who need accessibility assistance, but also companywide.

As we incorporate AI into the workplace, there are also ethical concerns to consider. Harvard Business Review outlines 13 principles for using AI responsibly, including informed consent, transparency, and AI training so that individuals are aware they are interacting with AI and use AI responsibly. 

ASME recognizes the transformative potential of AI and is seeking ways to incorporate it into the field of mechanical engineering and how ASME does business. This includes addressing concerns related to ensuring that AI is harnessed in a manner that not only enhances efficiency and innovation but also upholds ethical standards and societal values, including DEI and beyond. 


Kind Regards, 

Thomas Costabile, P. E., FASME
Executive Director/CEO