AI in Art: Creativity and Authorship

Active learning works because students engage directly with the tools they are studying, experiencing firsthand how AI reshapes creativity. Generating, debating, and role-playing make abstract concepts like authorship and ethics concrete and memorable for Year 9 students.

• Year 9
• The Arts
• 4 activities
• 35 min–50 min

Learning Objectives

1. Critique the assertion that AI-generated art possesses genuine creativity, referencing algorithmic processes and dataset recombination.
2. Analyze the ethical considerations surrounding the replication of deceased artists' styles by AI, considering issues of consent and artistic legacy.
3. Synthesize arguments to predict the future impact of AI art on the art market and the evolving definition of an artist.
4. Evaluate the role of human input, such as prompt engineering, in the authorship of AI-generated artworks.

Formal Debate

⏱ 45 min·Pairs

Prompt Workshop: Generating and Critiquing AI Art

Provide access to free AI art generators. Students work in pairs to enter identical prompts, then compare outputs and annotate differences due to human phrasing. Groups share one finding and vote on most 'creative' result with reasons.

Prepare & details

Critique the claim that AI-generated art can be considered truly 'creative'.

Facilitation Tip: During Prompt Workshop, circulate and ask pairs how changing one word in their prompt altered the AI’s style or mood, guiding them to notice dependency on human input.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Formal Debate

⏱ 40 min·Pairs

Debate Pairs: AI vs Human Creativity

Assign pairs one pro and one con position on 'AI art is truly creative.' They prepare three pieces of evidence from class-generated art. Pairs debate with class as judges, rotating opponents midway.

Prepare & details

Analyze the ethical implications of using AI to create art in the style of deceased artists.

Facilitation Tip: For Debate Pairs, provide a timer and a strict ‘evidence-first’ rule to keep discussions focused on claims from the activities rather than personal opinions.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Formal Debate

⏱ 35 min·Small Groups

Ethics Role-Play: Deceased Artist Styles

Present scenarios where AI mimics Picasso or Indigenous artists. Small groups role-play as artist estates, AI users, and buyers, negotiating consent and compensation. Debrief with class vote on fairest outcomes.

Prepare & details

Predict how the rise of AI art might transform the art market and the definition of an artist.

Facilitation Tip: In Ethics Role-Play, assign each stakeholder role a one-sentence summary of their position beforehand to ensure all voices are prepared and heard.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Formal Debate

⏱ 50 min·Small Groups

Market Simulation: Pitching AI Art Businesses

Groups design art businesses blending AI and human work, predicting market changes. They pitch to class 'investors' with prototypes and address ethical concerns. Class selects top pitch based on innovation and ethics.

Prepare & details

Critique the claim that AI-generated art can be considered truly 'creative'.

Facilitation Tip: During Market Simulation, assign one student in each group to track how often human artists are mentioned in pitches to reveal assumptions about AI’s market role.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Teaching This Topic

Teachers should treat AI tools as artifacts to dissect, not as magic. Use think-alouds when generating images to model how to critique outputs. Avoid framing AI as a replacement for human creativity; instead, emphasize hybrid practices. Research shows that when students role-play stakeholders, their ethical reasoning improves because they experience consequences directly.

What to Expect

Successful learning looks like students confidently distinguishing between AI remixing and human intent, questioning ethical boundaries, and articulating nuanced views on authorship. They should use specific examples from activities to support their arguments.

Watch Out for These Misconceptions

Common Misconception

During Prompt Workshop, watch for students describing AI outputs as fully original inventions rather than remixes of training data.

What to Teach Instead

Redirect them to compare multiple AI-generated versions of the same prompt and ask, ‘What patterns do you see repeating across these images?’ to reveal their reliance on patterns in the dataset.

Common Misconception

During Ethics Role-Play, watch for students dismissing ethical concerns about mimicking deceased artists as overreactions.

What to Teach Instead

Have students present their stakeholder’s worst-case scenario to the class and ask the group to vote on which harm is most damaging, using role-play notes to ground the discussion in tangible consequences.

Common Misconception

During Market Simulation, watch for students assuming AI will dominate the art market and make human artists obsolete.

What to Teach Instead

Ask groups to tally how many times their business pitch includes human artists as part of the value chain and discuss why authenticity remains a selling point in their models.

Assessment Ideas

Discussion Prompt

After Prompt Workshop and Debate Pairs, pose the following to small groups: ‘Imagine an AI generates a piece of art that perfectly mimics Van Gogh’s style. Who is the artist: the AI, the person who wrote the prompt, or is it a new form of homage? Justify your answer with reference to authorship and ethics discussed in the activities.’

Quick Check

During Prompt Workshop, present students with three images: one clearly human-made, one AI-generated with a simple prompt, and one AI-generated with a highly detailed, complex prompt. Ask students to write down which they believe is which and provide one specific visual or conceptual reason for their classification.

Peer Assessment

During Prompt Workshop, have students pair up and share an AI-generated image they created. Each student evaluates their partner’s image based on two criteria: ‘How original does this feel?’ and ‘How effectively does the prompt seem to have guided the AI?’ Partners provide one sentence of constructive feedback for each criterion.

Extensions & Scaffolding

• Challenge: Ask students to generate an AI image using a banned word from their prompt bank, then explain how the absence of that word changed the output.
• Scaffolding: Provide sentence stems like ‘The AI reused ___ from its training data when it produced ___.’ for students to structure critiques during Prompt Workshop.
• Deeper exploration: Have students research how one living artist uses AI in their practice and compare it to the AI-generated art they created.

Key Vocabulary

Algorithmic Art	Art created through processes defined by algorithms, often involving AI, where the output is determined by a set of rules or instructions.
Prompt Engineering	The practice of designing and refining text inputs (prompts) to guide AI models, particularly generative AI, toward desired outputs, such as specific artistic styles or subjects.
Dataset Bias	The inherent prejudices or skewed representations within the data used to train AI models, which can influence the style, content, and originality of AI-generated art.
Authorship	The status of being the creator of a work, which in the context of AI art, is debated between the AI model, the prompt engineer, and the developers of the AI.