Ethical or Moral Impacts of Computing: “In my work, I explore many ethical dilemmas in all branches of AI. Some of the most pertinent to my work are algorithmic bias, overreliance on technology, and privacy concerns. Working with diverse users, it's important that technologies are accessible and serve everyone equally well. It is also important to recognize that people tend to overly trust or depend on technologies they perceive as competent or friendly. It's important to manage the relationship that people form with robots and for them to recognize the limitations of technology. Finally, many of the robots I use have cameras and microphones that can collect more information than users may want technology to know about them.”

Good: Randi's efforts provide hands-on experiences in machine learning, robotics, and autonomous cars to thousands of students worldwide, fostering innovation and encouraging societal improvements through technology.

Neutral: AI education research is a long-term endeavor that balances long-term vision and immediate needs, benefiting educators, students, and schools today while also planning for the future.

Negative: Disparate access to technology is a significant negative impact of computing in education, as many technologies designed for under-resourced groups overlook procurement, training, and maintenance costs, hindering equitable access and requiring careful consideration and community collaboration to address.