Everyday AI - Session 1
Everyday A.I.: Instruction Every Student Deserves and ALL Teachers Can Provide
This presentation, by Donna Squires and Angela May, Digital Learning Coaches in the Peninsula School District, aims to provide educators with a foundational understanding of Artificial Intelligence (AI) and machine learning, exploring their applications in everyday life and their impact on equity and diversity.
Key Takeaways:
- Defining AI and Machine Learning: The presentation clarifies key terms like computer science, artificial intelligence, machine learning, and the Turing Test, providing a basis for understanding AI's capabilities.
- Distinguishing AI from Non-AI: Through examples like smart thermostats, facial recognition, and Roombas (AI) versus calculators, remote control helicopters, and automatic sliding doors (not AI), the presentation helps differentiate between true AI and other technologies.
- Historical Context and Advancements: The presentation highlights the rapid advancement of computing power since the mid-1900s, leading to the latest surge in AI applications driven by machine learning, access to vast amounts of data, and increased computational power.
- Introduction to Generative AI: The presentation introduces Chat GPT as an example of generative AI, setting the stage for further exploration of this specific type of AI.
- Focus on Practical Applications and Equity: The presentation emphasizes the real-world applications of AI and its potential impact on equity and diversity, prompting reflection on algorithmic bias and the role of human brains in shaping AI's development.
Actionable Insights:
- Develop a Working Definition of AI: Engage with the provided resources to build your own understanding of AI and its capabilities.
- Identify AI in Everyday Life: Reflect on your daily interactions with AI and consider how it impacts various aspects of your life.
- Explore the Ethical Implications of AI: Consider the potential impact of AI on equity and diversity, particularly in relation to algorithmic bias.
- Engage with the Provided Resources: Utilize the curated list of articles, videos, and interactive experiences to deepen your understanding of AI and machine learning.
- Participate in the "Water Cooler Talk": Discuss your thoughts, definitions, and experiences with AI in small groups.
- Prepare for Session 2: Engage in the Schoology discussions to continue exploring the topic and prepare for the next session.
Looking Ahead:
The presentation sets the stage for further exploration of AI in education, particularly its role in providing instruction that every student deserves and all teachers can provide. By building a foundational understanding of AI, its applications, and its ethical implications, educators can better prepare themselves and their students for a future increasingly shaped by artificial intelligence. The presentation encourages a proactive and informed approach to AI integration, emphasizing its potential to enhance teaching, learning, and equity in education.