In the process of self-driving cars becoming more popular, the following categories may be affected by bias due to distrust of new technologies: 1. **Older people**: Older people may not be as familiar with technology as younger people, they may not trust the capabilities of self-driving cars, and may not feel as comfortable using them. According to a 2020 Pew Research Center survey, only 31% of American adults aged 65 and older believe that the idea of self-driving cars is a good one, compared to 51% of younger generations. 2. **Low-income communities**: Low-income communities may not have access to educational programs or opportunities to learn about self-driving car technology, leading to a lack of trust and adoption. This may prevent them from enjoying the benefits of self-driving transportation, such as increased safety and convenience. 3. **Rural communities**: Rural communities may have limited internet connectivity and educational resources, making it more difficult for them to learn about self-driving car technology and its benefits. According to a 2020 report by the U.S. Bureau of Economic Research (ERS), rural residents are less likely than urban residents to own smartphones, computers, or the internet, which may limit their access to information about self-driving cars. 4. **Minority groups**: Minority groups, such as African Americans and Hispanics, have been marginalized or discriminated against by technological advances in the past. According to the National Center for Health Statistics’ 2019-2020 National Health and Nutrition Examination Survey (NHANES), only 22.4% of non-Hispanic black adults own a cell phone from work or school, compared with 25.6% of Mexican adults. 5. **People with disabilities**: While self-driving cars have the potential to greatly improve independence and mobility for people with disabilities (such as visual impairments, limited mobility, or cognitive impairments), they may raise legitimate concerns about safety, usability, and accessibility. According to the National Center for Health Statistics’ 2019-2020 NHANES survey, 12.6% of U.S. adults report significant physical impairments that may limit their use of self-driving cars. 6. **People with limited education**: People with higher education may be more likely to understand and trust driverless car technology. According to a 2020 Pew Research Center survey, 31% of adults with only a high school diploma or equivalent think the idea of self-driving cars is a good idea, compared with 51% of those with a college degree or more. 7. **Rural residents**: People living in rural areas may be less trusting of self-driving cars than urban residents because they may not be exposed to new technologies as often as urban residents. 8. **Individuals with phobias or anxiety disorders**: People with phobias (such as technophobia) or anxiety disorders (such as dyslexia) may feel anxious or uncomfortable using self-driving cars due to the lack of control over the technology. To mitigate these biases, manufacturers, policymakers, and educational programs can work together to: 1. Promote education and awareness to address concerns and questions people have about self-driving cars. 2. Provide equal access, including training and educational resources to help communities understand and use the benefits of self-driving cars. 3. Develop inclusive and accessible designs that cater to people with disabilities and other groups who may be disadvantaged due to lack of technological proficiency. 4. Build trust through transparency, data, and testing results, and ensure that the public has access to information about the safety and effectiveness of self-driving cars. By addressing these potential biases and getting everyone involved, society can create a more equitable and inclusive environment for self-driving cars.