Artificial intelligence (AI) is revolutionizing higher education in the areas of business operations, 研究, 教学, 和学习. 总理, Jeremy Haefner has formed an AI steering committee to think through the implementation 和 impact of artificial intelligence here at DU. The committee has been looking at the implications of AI for 教学 和学习, 研究, 尤其是商业运作, 并在每个学科中成立一个特别小组.
这是由玛丽·克拉克共同领导的, 教务长和执行副校长, 和罗素·考洛托, 信息技术的CIO和VC, working with 院长 Vivek Choudhury (Daniels College of Business), Michael McGuire(大学学院), 和 Michelle Sabick (Ritchie School of Engineering 和 Computer 科学) 和 Deputy Chief Information Officer Rohini Ananthakrishnan.
确保人工智能的有效实施, the AI Steering will undertake the following responsibilities:
1. Establishing AI task forces for business operations, 研究, 教学, 和学习.
2. Reviewing 和 prioritizing recommendations from the task forces.
3. Identifying funding sources for implementing prioritized recommendations.
4. Establishing teams responsible for implementation of the recommendations.
5. Championing the change management efforts of the recommendations.
6. Fostering a culture of learning 和 innovation that is critical to the ethical implementation, 采用, 以及人工智能技术的未来规模和指导方针.
7. Implementing structures 和 guidelines for ongoing support of AI technologies.
人工智能专责小组
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教与学专责小组
Artificial intelligence (AI) is poised to change the workplace, 消除一些传统角色, 创建新角色, 并改变我们学生的学习方式. AI is emerging as a powerful tool in the areas of 教学 和 instructional design.
目前引人注目的用途包括:
- 改进个性化的学生指导和反馈;
- broadening access 和 inclusivity when paired with universal design principles,
- 更清晰的课程组织;
- 加强作业和学习成果的一致性;
- 提高课堂和科目的参与度;
- 和 preparing students to complete tasks 和 solve problems in an AI-infused workforce.
The Teaching 和 Learning task force of the AI steering committee will be responsible for the following:
- Conducting surveys 和 focus groups within the university community 和 with employers to identify AI-related knowledge 和 skills that will be core to the future of work.
- Use information from the surveys 和 focus groups to generate a list of proposed AI learning outcomes for all students.
- Identifying existing courses or 项目 that incorporate those learning outcomes or propose new courses, 属性, 或者可以添加到关键课程的内容.
- Engaging 教学 和 instructional design expertise from across the university to review promising practices (internal 和 external) 和学习s to help develop guidance for effective 采用 和 implementation to enhance the DU student 和 faculty 教学 和学习 experience.
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研究专责小组
The AI 研究 task force will be responsible for the following:
- Identifying how best to infuse AI for competitive advantage in our 研究 impact by supporting our faculty 和 students whose 研究 work relates to AI 和 whose 研究 work can be benefited by AI tools.
- Articulating a process for developing guidelines 和 st和ards for AI use in 研究 和 to protect our data from AI threats.
- Recommending structures 和 guidelines for ongoing support of AI tools for 研究.
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业务运作专责小组
Artificial intelligence (AI) can be used in various functions within higher education business operations, 包括但不限于预算和预测, 设施管理, 学生辅导与成功, 数据分析和决策, 基于“增大化现实”技术/ AP管理, 风险规划. To ensure the effective implementation of AI in business operations, the business operation task force will be responsible for the following:
- Conducting surveys 和 focus groups with the university community to identify AI use cases.
- Recommending the acquisition of AI tools or the addition of features to existing software that will meet the needs gleaned from the survey responses 和 focus groups.
- Providing recommendations to the AI steering committee on policies 和 guidelines for the acquisition 和 ethical use of AI tools.
- Developing metrics that will help calculate ROI on implementing AI for business operations.
- 与其他人工智能工作组合作进行研究, 教学, 和学习 when use cases extend into one or more of those areas.
- Recommending structures 和 guidelines for ongoing support of AI tools for business operations.
