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Diversity, Equity, and Inclusion: Best Practices in Engineering Part 2 | Universal Design
American Society of Civil Engineers (ASCE)
Overview
This video explores the principles and importance of Universal Design within engineering, emphasizing its role in creating inclusive and equitable products and systems. It argues that traditional engineering often overlooked diverse user needs, leading to exclusion. Universal Design, by contrast, aims to create solutions usable by everyone, regardless of age, ability, or background. The video highlights real-world examples like curb cuts and discusses the critical need for diverse perspectives in developing modern technologies like AI and machine learning to prevent bias and ensure equitable outcomes. Ultimately, it posits that embracing Universal Design is not only ethical but also leads to better, more marketable products and a more inclusive society.
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Chapters
- The future workforce and user base in the US are becoming increasingly diverse in terms of gender, ethnicity, and origin.
- Traditional engineering designs were often not intentionally exclusive but also not designed for broad inclusion.
- There's a critical need to ensure engineering designs are useful and marketable to people with diverse abilities and backgrounds.
- Lack of diversity on design teams is a significant problem, often leading to designs that only serve a narrow norm.
Understanding the limitations of past design practices highlights why a shift towards inclusive design is not just a social imperative but a practical necessity for future engineering success.
Observing a design room where everyone looks the same is a clear indicator of a potential problem with inclusive design.
- Universal Design means building for any and all foreseeable uses, making it good design for everyone.
- It can be as simple as creating inclusive games for children on a playground.
- The invention of curb cuts, initially for wheelchair users, proved beneficial for many others, illustrating the core concept.
- Incorporating tactile elements like Braille on curb cuts enhances usability for busy individuals who might not be visually aware of the edge.
Concrete examples demonstrate that Universal Design is not an abstract concept but a practical approach that benefits a wide range of users, often in unforeseen ways.
Curb cuts (dipped curbs) were initially designed for people in wheelchairs but also greatly assisted parents with strollers, merchants with carts, and others.
- Small, early design changes in housing, like wider doorways or pre-installed grab bars, significantly improve livability and reduce the need for constant assistance.
- Installing features like grab bars during initial construction is far more cost-effective than retrofitting them later.
- Diverse and inclusive thought processes lead to better products across the board.
- AI and machine learning must also incorporate Universal Design principles to avoid inherent biases.
This section shows how Universal Design principles can be applied to complex fields like housing and AI, demonstrating its broad applicability and the significant cost and quality benefits of early, inclusive planning.
Installing grab bars before tiling is cheaper and easier than adding them after the bathroom is finished.
- AI systems can perpetuate bias if the data they are trained on is not diverse or representative.
- Facial recognition technology has historically shown bias against people of color because diverse individuals were not involved in its design or testing.
- The quality of AI output is directly dependent on the quality and comprehensiveness of the input data ('garbage in, garbage out').
- Incorporating social scientists and diverse user feedback through surveys is crucial for developing equitable AI algorithms.
This chapter highlights the critical ethical and functional risks of neglecting diversity in AI development, emphasizing that inclusive data and design are essential for creating unbiased and effective artificial intelligence.
AI systems failing to recognize facial tones of people of color is a direct consequence of biased training data and a lack of diverse input during development.
- Universal Design is an ongoing process of iteration and adaptation, not a one-time fix.
- Responding to user feedback and addressing identified gaps is crucial for continuous improvement.
- AI and technology offer opportunities to remove human error and bias by ensuring inclusive data and design from the outset.
- Embracing diversity and inclusive design provides a competitive advantage and leads to a more equitable world.
The video concludes by framing Universal Design as a continuous journey that requires adaptability and a commitment to inclusivity, ultimately leading to innovation and societal benefit.
Going back to redesign an algorithm based on user feedback about a specific challenge they encountered.
Key takeaways
- Engineering designs must evolve to serve an increasingly diverse user base, moving beyond traditional, narrow assumptions.
- Universal Design is fundamentally about creating solutions that are inherently usable by the widest possible range of people from the start.
- Real-world examples like curb cuts demonstrate that inclusive design benefits everyone, not just specific user groups.
- Integrating diverse perspectives into the design process, especially in technology like AI, is vital to prevent and mitigate bias.
- Cost-effective design solutions often arise from incorporating universal principles early in the development cycle.
- Continuous iteration and adaptation based on user feedback are essential for achieving truly inclusive and effective designs.
- Diversity in engineering teams directly correlates with the quality and marketability of the final products.
Key terms
Universal DesignDiversityEquityInclusionCurb CutsAI (Artificial Intelligence)Machine LearningBias in AIInclusive DesignUser Feedback
Test your understanding
- What is the core principle of Universal Design and how does it differ from traditional design approaches?
- Why is diversity within engineering design teams crucial for developing effective and equitable products?
- How can the concept of Universal Design be applied to improve housing accessibility and reduce long-term care needs?
- What are the risks associated with not applying Universal Design principles to AI and machine learning, and how can these risks be mitigated?
- Explain the iterative nature of Universal Design and why continuous adaptation is necessary.