Hook: How has technology evolved? Discuss image below.
Hook: How has technology evolved? Discuss image below.
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KM Respects Data Privacy
KM Respects Data Privacy
Respect for Privacy
Respect for Privacy
AI systems should not be used to access or share personal or confidential information. Never upload KM data or identifying information of any kind.
Table of Contents:
What is AI & Generative AI?
Why AI Literacy Matters
Prompt Engineering & Human Computational Thinking Skills
Why Data Privacy Matters
Privacy Risks
1) What Is AI & GenAI?
1) What Is AI & GenAI?
Artificial Intelligence is a computer program that can perform tasks that typically require human intelligence.
Generative AI is a type of AI that can CREATE content, including text, images, video and audio.
How AI Works 1:29
How Chatbots & LLM Work 7:21
What is Generative AI? 3:47
It the Internet Expanding or Narrowing our Minds 9:00
2) Why AI Literacy Matters
2) Why AI Literacy Matters
Why AI Matters 2:03
3) Prompt Engineering & Human Computational Thinking Skills
3) Prompt Engineering & Human Computational Thinking Skills
A PROMPT is a set of instructions (Algorithm) given as input to an AI system.
AI recognizes PATTERNS in the data or training to predict a probable desired output.
AI tries to FILTER out (Abstraction) unlikely matches.
Computational Thinking with AI Tools requires human interaction.
Computational Thinking with AI Tools requires human interaction.
Humans must be able to decompose (break down) a problem/task, engineer a prompt as an algorithm (set of instructions), understand the tool is filtering (abstraction) from what it has learned by recognizing patterns of data in order to make predictions for a desired output. Humans must think critically about the output and make changes to meet their goal.
KMSD Computational Thinking Skills for Grades 6-12
KMSD Computational Thinking Skills for Grades 6-12
Digital Promise CT Visual
Digital Promise CT Visual
(Click to Enlarge)
4) Why Privacy Matters
4) Why Privacy Matters
A Day in the Life Privacy Tools 2:46
Generative AI tools such as LLMs may seem like superheroes in certain tasks, but they do have their limitations, particularly in terms of privacy.
A golden safety rule to live by is never sharing personally identifiable information, whether it's about yourself or someone else, with generative AI models, unknown individuals, or untrusted sites. This means safeguarding details like your full name, email address, phone number, home address, and any other sensitive data.
A key way to take control of your online privacy is to review the privacy policies and terms of service for various AI tools before using them. Think of it as doing your research before starting a project. You might see statements that say these companies could share your data with third parties without seeking your consent. Others may use cookies to monitor your activities across the internet. Understanding how your data is handled will help you decide if you want to use a particular app or website.
5) Privacy Risks
5) Privacy Risks
Facial Recognition
a type of AI technology that can use a digital image of a face to identify a person
Facial recognition is used in a lot of different apps and tools, but like with any technology, there are both benefits and risks to using it. The risks we think about most are related to our privacy.
Privacy is protection from being observed or tracked by others, including the government, companies, the public, individuals, or groups
Conclusion: Discussion Questions
Conclusion: Discussion Questions
What strategies can you think of that could help ‘prompt’ an AI tool to help you in school tasks?
Do you have guidelines or safeguards in place to protect yourself and your identity?
Who might be able to follow your location? (parents, friends, others?)
What apps do you have that track data about you? (step/exercise tracker, where your car is parked, etc)
What apps do you choose NOT to download?
How do you feel about machines learning from you? Is this helpful or harmful?
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