Presentation
The AI Design Process and Human Factors Engineers’ Unique Role
DescriptionIntroduction
This presentation aims to explain the process for designing custom AI tools, while emphasizing the pivotal role that human factors engineers play in developing AI that enhances safety. Our team’s presenters include a human factors expert and staff from our organization’s AI Center for Excellence, who have collaboratively developed AI tools tailored to improve safety and efficiency in critical applications.
As AI continues to grow in our field and beyond, collaboration between human factors engineers and AI specialists is vital for developing effective AI tools. Our presentation will provide insights into the AI design process, emphasizing the importance of understanding user needs, integrating AI outputs into workflows, customizing AI models to fit specific situations, and communicating AI outputs in ways that give users value.
Traditionally, human factors engineers were trained to consider the human-machine interface, focusing on how to assign tasks effectively between humans and computers based on their respective strengths. However, the emergence of AI-enhanced user interfaces has changed the landscape. While AI has substantial potential, its effectiveness is contingent upon the end-user's understanding of the AI output’s creation process, sources, and limitations. Human factors engineers bridge this gap, translating complex data into understandable formats that enable users to make good decisions.
The presentation will describe the AI design process, which shares similarities with the overall product development process but also diverges in interesting ways. The focus will be on introducing AI in high-stakes environments (e.g., medical product development), where there is a low tolerance for errors.
Key topics to be covered are described in the sections below. Notably, the content below is a summary of the detailed abstract submitted originally:
1. Understanding User Needs and Workflows: Learn to identify and prioritize user pain points that AI can effectively address, ensuring tools meet real user requirements. Discover strategies for incorporating AI outputs into existing workflows to enable users to leverage AI without disrupting their processes.
2. Customizing AI Models: Gain insights into tailoring AI models to specific situations, including understanding trade-offs between recall and precision based on user needs.
3. Communicating AI Outputs: Emphasize the importance of effectively communicating AI outputs to build trust and facilitate informed decision-making.
4. Case studies: To exemplify the AI design approach described above, we will present case studies that demonstrate how AI can enhance safety. The case studies could potentially serve as a roadmap for other organizations that are interested in exploring the development of custom AI tools, but who also cannot risk compromising quality and safety when doing so.
Conclusion
We invite conference attendees to join us in exploring this critical intersection of human factors engineering and AI design. Together, we can advance the development of AI tools that enhance safety and effectiveness across various applications.
This presentation aims to explain the process for designing custom AI tools, while emphasizing the pivotal role that human factors engineers play in developing AI that enhances safety. Our team’s presenters include a human factors expert and staff from our organization’s AI Center for Excellence, who have collaboratively developed AI tools tailored to improve safety and efficiency in critical applications.
As AI continues to grow in our field and beyond, collaboration between human factors engineers and AI specialists is vital for developing effective AI tools. Our presentation will provide insights into the AI design process, emphasizing the importance of understanding user needs, integrating AI outputs into workflows, customizing AI models to fit specific situations, and communicating AI outputs in ways that give users value.
Traditionally, human factors engineers were trained to consider the human-machine interface, focusing on how to assign tasks effectively between humans and computers based on their respective strengths. However, the emergence of AI-enhanced user interfaces has changed the landscape. While AI has substantial potential, its effectiveness is contingent upon the end-user's understanding of the AI output’s creation process, sources, and limitations. Human factors engineers bridge this gap, translating complex data into understandable formats that enable users to make good decisions.
The presentation will describe the AI design process, which shares similarities with the overall product development process but also diverges in interesting ways. The focus will be on introducing AI in high-stakes environments (e.g., medical product development), where there is a low tolerance for errors.
Key topics to be covered are described in the sections below. Notably, the content below is a summary of the detailed abstract submitted originally:
1. Understanding User Needs and Workflows: Learn to identify and prioritize user pain points that AI can effectively address, ensuring tools meet real user requirements. Discover strategies for incorporating AI outputs into existing workflows to enable users to leverage AI without disrupting their processes.
2. Customizing AI Models: Gain insights into tailoring AI models to specific situations, including understanding trade-offs between recall and precision based on user needs.
3. Communicating AI Outputs: Emphasize the importance of effectively communicating AI outputs to build trust and facilitate informed decision-making.
4. Case studies: To exemplify the AI design approach described above, we will present case studies that demonstrate how AI can enhance safety. The case studies could potentially serve as a roadmap for other organizations that are interested in exploring the development of custom AI tools, but who also cannot risk compromising quality and safety when doing so.
Conclusion
We invite conference attendees to join us in exploring this critical intersection of human factors engineering and AI design. Together, we can advance the development of AI tools that enhance safety and effectiveness across various applications.
Event Type
Oral Presentations
TimeTuesday, April 18:30am - 9:00am EDT
LocationHarbour A/B
Medical and Drug Delivery Devices (MDD)