Technology experts emphasize the ethical and policy challenges of integrating technology into education, advocating for curricula that prepare students for a digital future while addressing issues of equity, access, and digital literacy. Concerns include the ethical use of AI-driven learning tools, data privacy in student tracking systems, and the digital divide that can exacerbate educational inequalities. Ensuring that students receive relevant, up-to-date instruction on technology—covering topics like cybersecurity, AI bias, and responsible AI use—is crucial for fostering informed and critical users of emerging technologies. Policymakers and educators need to develop policies that promote ethical technology use, ensure teacher training keeps pace with advancements, and incorporate diverse perspectives to create inclusive, future-ready learning environments.
Principles for the Development, Deployment, and Use of Generative AI Technologies, ACM Technology Policy Council (June 27, 2023)
Generative Artificial Intelligence (AI) is a broad term used to describe computing techniques and tools that can be used to create new content such as text, speech and audio, images and video, and computer code. While such systems offer tremendous opportunities for benefits to society, they also pose very significant risks. The increasing power of generative AI systems, the speed of their evolution, broad application, and potential to cause significant or even catastrophic harm means that great care must be taken in researching, designing, developing, deploying, and using them. Existing mechanisms and modes for avoiding such harm likely will not suffice.