Summary

The conversation explores the promises and perils of AI in education, focusing on the potential for AI to perpetuate the status quo or challenge it. The hosts discuss the importance of courage, commitment, and creativity in utilizing AI to dismantle inequitable barriers and create positive change. They emphasize the need for awareness, self-reflection, and self-interrogation in challenging the status quo and using AI ethically. The conversation also touches on the principles of practice for reducing bias and risk in AI tools and the importance of understanding the strengths and weaknesses of different platforms. The conversation explores the use of AI in education and the potential impact on student outcomes. It emphasizes the importance of critically evaluating AI tools and platforms, considering their biases and potential risks. The conversation also highlights the need for ethical considerations and transparency in AI use. It discusses the role of educators as educational activists, utilizing AI to engage students in social issues and community engagement. The conclusion emphasizes the need to address existing inequities and develop digital fluencies and literacies across all disciplines.

Takeaways

• AI in education can either perpetuate the status quo or challenge it, depending on how it is utilized.
• Courage, commitment, and creativity are essential in using AI to dismantle inequitable barriers and create positive change.
• Awareness, self-reflection, and self-interrogation are necessary for challenging the status quo and using AI ethically.
• Principles of practice can help reduce bias and risk in AI tools, and it is important to understand the strengths and weaknesses of different platforms. AI tools and platforms in education should be critically evaluated for biases and potential risks.
• Ethical considerations and transparency are crucial in AI use.
• Educators can utilize AI to engage students in social issues and community engagement.
• Addressing existing inequities and developing digital fluencies and literacies across all disciplines is essential.

Summary

The conversation explores the importance of data regulation and policy in the context of AI in education. It emphasizes the need for transparency and accountability in the use of student data and the ethical considerations surrounding AI platforms. The hosts discuss the misconceptions about data privacy and the responsibility of educators and decision-makers to ask the right questions and provide clear information to students and parents. They also highlight the potential risks and long-term consequences of not understanding the terms of service and data usage of AI platforms. The conversation concludes with the idea of utilizing AI tools to analyze and summarize terms of service in a more understandable way.

Takeaways

• Transparency and accountability are crucial in the use of student data in AI platforms.
• Educators and decision-makers should ask the right questions and provide clear information to students and parents about data usage.
• Misconceptions about data privacy and AI should be addressed through education and awareness.
• Understanding the terms of service and data usage of AI platforms is essential to mitigate potential risks and long-term consequences.
• AI tools can be used to analyze and summarize terms of service in a more understandable way.

Summary

The conversation explores the promises and perils of AI in education, with a focus on synthetic media. The hosts discuss the importance of media literacy in educational experiences and the potential dangers of creating counterfeit content. They delve into the ethical implications of AI-generated media, such as voice mimicking and video manipulation. The chapter emphasizes the need for guidance and support in using AI tools for positive purposes and encourages educators to help students find their authentic voices before utilizing synthetic media. The hosts also highlight the importance of classroom discussions and community agreements around the responsible use of AI and synthetic media.

Takeaways

Media literacy is essential in educational experiences to identify authentic and counterfeit content.
AI-generated synthetic media raises ethical concerns, such as voice mimicking and video manipulation.
Guidance and support are crucial in using AI tools for positive purposes and avoiding misuse.
Educators should help students find their authentic voices before utilizing synthetic media.
Classroom discussions and community agreements can promote the responsible use of AI and synthetic media.

Summary

The conversation explores the promises and perils of AI in education, addressing equity, admissions, grading, student tracking, and the ethical considerations of AI. It delves into the potential impact of AI on high-stakes decisions in schools and the need for transparency, accountability, and human involvement in the decision-making process.

Takeaways

AI in education has the potential to address equity issues but also poses ethical challenges.
High-stakes decisions in schools, such as admissions and grading, require transparency, accountability, and human involvement.
The use of AI in education must be carefully considered to avoid perpetuating existing biases and inequalities.
The conversation highlights the need for a critical examination of the impact of AI on education and the importance of leveraging technology for good with authenticity and transparency.

Summary

The conversation between Ken Shelton and Dee Lanier explores the promises and perils of AI in education, focusing on the digital divide, equity, and the ethical use of AI tools. The discussion delves into the impact of AI on access, opportunity, and learning outcomes, highlighting the disparities that exist and the potential for AI to promote equity and inclusion in education.

Takeaways

AI in education has the potential to address the digital divide and promote equity and inclusion in learning environments.
The ethical use of AI tools in education is crucial for ensuring fair access and opportunity for all students.
The disparities in access to AI tools and resources can perpetuate existing inequities in education, highlighting the need for informed decision-making and community involvement.
AI can be leveraged to provide personalized feedback, diagnostic assessment, and formative assessment, contributing to improved learning outcomes and student success.

Summary

The conversation explores the promises and perils of AI in education, focusing on bias, data sets, and the impact on students of color. It delves into the ethical considerations and offers solutions for addressing bias in AI. The discussion emphasizes the importance of acknowledging bias, critically evaluating AI systems, and incorporating critical and analytical information literacy strategies.

Takeaways

AI in education presents both promises and perils, particularly in relation to bias and its impact on students of color.
The bias in AI is influenced by the data sets used and the curation of that data, highlighting the need for critical evaluation and oversight.
Addressing bias in AI requires acknowledging its existence, developing authentication mechanisms, and incorporating critical and analytical information literacy strategies.
Bringing diverse perspectives to the table and utilizing AI as a conversation partner can help in addressing bias and working toward positive change in education.

Sound Bites

"Examining bias in educational artificial intelligence is important."
"The bias in AI tends to manifest in large language models and image generators."
"The school to prison network: a direct connection between schools and systems treating black and brown bodies as disposable."

This episode was produced in conjunction with Chillhop Music. Song listing and credits are below:

Summary

This conversation explores the promises and perils of AI in education, focusing on equity, ethics, and the impact on students and staff of color. It delves into the rush to claim expertise, the ethical use of technology, and the struggle between short-term gains and long-term benefits. The discussion also covers the concepts of AI, machine learning, large language models, and generative AI, highlighting the potential for both positive and concerning outcomes.

Sound Bites

"AI, is it important for the equity we seek? Giving teachers what they want, providing students what they need."
"Moving fast does not always mean being first, does not always equal being fast."
"Am I sacrificing long-term benefits for short-term gains?"

Takeaways

Exploration of the promises and perils of AI in education, with a focus on equity and ethics
Consideration of the rush to claim expertise and the ethical use of technology
Discussion of the struggle between short-term gains and long-term benefits
Insight into the concepts of AI, machine learning, large language models, and generative AI


The production is in partnership with Chillhop Music. Song List and Credits are listed below:

Though our time seemed short in New Orleans, LA this year, it was very important to take the tame and get a recording with none other than Leon Tynes, @ISTE ‘18 Award, @NatGeoEducation GTF, @Fulbrightteach, #PBSDigitalInnovator & @thehenryford Innov Award winner.

Dee and Ken were able to catch Leon downstairs and this is what they were able to talk about...


Produced by 414 Media
Music by Chillhop Records.