1. How can big AI traffic models be cultivated?
Big AI traffic models can be cultivated by providing them with a systematic education process. This includes value frameworks, competition mechanisms, open learning environments, multidimensional evaluation systems, systematic curriculum systems, challenging learning tasks, and real-time guidance from human experts. By following a 'human-centered' transportation ethical framework, using open source-based learning platforms, and engaging in confrontation games-based exercising platforms, these models can achieve healthy development and become skilled engineers and experts in the transportation field.
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2. Why are women underrepresented in ITS?
Women are underrepresented in the field of intelligent transportation systems (ITS) due to various factors. Despite making up more than half of the workforce, women face obstacles in forming professional networks and establishing relationships, making it difficult to break through the glass ceiling. This underrepresentation hinders innovation, limits the diversity of perspectives, and perpetuates gender stereotypes. Women bring unique and valuable perspectives to the table, and they must have access to equal opportunities to contribute to the research and development of ITS. Holding leadership positions does not always ensure their equal career advancement and recognition. The successes of women in male-dominated fields are often disregarded. To address this issue, the ITSS Ad hoc Committee on Women and Underrepresented Groups (Wi-ITS) was launched to inspire and support women in this field, promote gender diversity, equality, and inclusion, and extend interest in ITS among female students.
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