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How Should We Approach the Ethical Considerations of AI in K-12 Education?

Edsurge

Once imagined only in science fiction, artificial intelligence now powers much of the technology we interact with every day—from smart home devices to cognitive assistants to media recommenders. And with this change comes a host of new questions—concerns about the ethical design and implementation of these new tools.

Ethics 217
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The advent of AI

eSchool News

To read more about Gary Stger’s work regarding AI click here ; for Jerry Crisci, click here ; and for Mark Loundy, click here.Three Key Takeaways: AI in Education and Ethical Concerns: The panelists highlight the emergence of generative AI and its potential to transform education.

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AI as an Educational Ally: Innovative Strategies for Classroom Integration

Faculty Focus

The key question is: how can we transform AI from a potential source of plagiarism into a valuable educational resource? This allows educators to gain insights from students interactions with these technologies, fostering a deeper understanding of their applications and promoting ethical use.

Ethics 93
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High school students say AI will change the workforce

eSchool News

The majority (62 percent) of those queried suggested that schools offer guidance on the ethics of using AI, including boundaries related to AI content creation, misuse, and plagiarism. How can high schools prepare students for the future world of AI?

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What’s the state of STEM?

eSchool News

These include plagiarism (20 percent), insufficient training on AI education tools (15 percent), the potential to spread misinformation (13 percent), and reduced human interaction in learning (12 percent). The survey also revealed a range of teacher concerns about AI in education.

STEM 220
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Teachers Believe That AI Is Here to Stay in Education. How It Should Be Taught Is Debatable.

Edsurge

Their most common concerns about AI were plagiarism, a lack of teacher training on AI education tools, its potential to spread misinformation and a reduction of student interaction during class. Data science concepts form the building blocks of artificial intelligence, including popular large language models like ChatGPT.

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Assume the Best: Trust-Based Strategies for Empowering College Students

Faculty Focus

Teaching with Technology: Empower and Encourage, Don’t Police and Instill Fear Technology tools like plagiarism detectors and AI checkers can erode trust if used as punitive measures. Active learning increases student performance in science, engineering, and mathematics. Rethinking Plagiarism in the Era of Generative AI.