Myths about teaching can hold you back
- Year 10
- OCR
Social and ethical issues of AI systems
I can analyse the social and ethical implications of AI technologies.
- Year 10
- OCR
Social and ethical issues of AI systems
I can analyse the social and ethical implications of AI technologies.
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Lesson details
Key learning points
- The introduction of AI systems has brought benefits, but it also raises important social and ethical issues.
- Social implications of AI include job displacement, inequality of access, and privacy concerns over how data is used.
- AI can unintentionally amplify existing bias if it is trained on biased data.
- The transparency of AI systems is crucial so that users can understand how decisions are made.
Keywords
Bias - when something is unfair towards or against something or someone
Privacy - the right to keep personal data safe and control who can see or use it
Transparency - being clear about how AI works and explains its decisions
Common misconception
AI systems improve access to digital technologies.
Inequality of access to AI tools and systems is an ethical concern. Not everyone has equal access to AI tools which can actually increase the digital divide.
To help you plan your year 10 computer science lesson on: Social and ethical issues of AI systems, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your year 10 computer science lesson on: Social and ethical issues of AI systems, download all teaching resources for free and adapt to suit your pupils' needs.
The starter quiz will activate and check your pupils' prior knowledge, with versions available both with and without answers in PDF format.
We use learning cycles to break down learning into key concepts or ideas linked to the learning outcome. Each learning cycle features explanations with checks for understanding and practice tasks with feedback. All of this is found in our slide decks, ready for you to download and edit. The practice tasks are also available as printable worksheets and some lessons have additional materials with extra material you might need for teaching the lesson.
The assessment exit quiz will test your pupils' understanding of the key learning points.
Our video is a tool for planning, showing how other teachers might teach the lesson, offering helpful tips, modelled explanations and inspiration for your own delivery in the classroom. Plus, you can set it as homework or revision for pupils and keep their learning on track by sharing an online pupil version of this lesson.
Explore more key stage 4 computer science lessons from the Data science: AI and machine learning unit, dive into the full secondary computer science curriculum, or learn more about lesson planning.
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Prior knowledge starter quiz
6 Questions
Q1.What is a typical use for predictive AI?
Q2.Which statement best describes how predictive AI works?
Q3.Generative AI is most useful for which of the following tasks?
Q4.Arrange these stages for generative AI producing a new image:
Q5.Which of these is not a typical use for predictive AI?
Q6.Match each term to its description:
identifies trends to make forecasts
produces new content
used to train AI systems
repeated arrangement found in information
Assessment exit quiz
6 Questions
Q1.Which of the following is a social concern related to the use of AI?
Q2.What is the term for when an AI system treats some groups unfairly due to patterns in its training data?
Q3.Match each keyword to its definition:
when something is unfair towards a group
the right to keep personal information safe
being clear about how decisions are made
when some people have more opportunities than others