MKTG30009 Chap.12 AI, Ethics, Virality and Digital Synthesis

AI, Ethics, Virality and Digital Synthesis

Define generative AI

The course material gives this chapter a concrete anchor: Week 12 closes with AI, ethics, virality and synthesis; the Assignment 1 brief imposes explicit AI and advertising controls.

That generative AI anchor controls how virality is explained and how digital ethics is tested in changed practice.

AI, Ethics, Virality and Digital Synthesis frames a decision through generative AI, virality and digital ethics.

The objective is to evaluate AI or viral tactics for evidence, brand, harm and governance, so the chapter should be read as a chain from problem definition to evidence, option comparison and accountable action.

Start with generative AI and name the decision owner, affected stakeholders and time horizon.

The same generative AI fact can matter differently across those positions, so the opening frame determines which evidence is relevant.

Trace virality

Use virality to explain how the present condition produces an opportunity, cost or risk. A strong virality mechanism states what changes, for whom and through which organisational, market or institutional process.

Apply digital ethics when comparing options.

Keep the digital ethics criteria distinct, test trade-offs and ask which assumption drives the recommendation. A score or matrix helps only when its criteria are justified by the case.

For the application — evaluate AI or viral tactics for evidence, brand, harm and governance — finish with an actor, action, rationale and review trigger.

This turns the digital ethics analysis into a recommendation while keeping the decision open to new evidence.

Test with digital ethics

Build a decision ledger. Separate the current condition, the stakeholder affected, the evidence supporting generative AI, the mechanism represented by virality and the criterion supplied by digital ethics.

If a digital ethics recommendation cannot point back to one of those entries, it is probably preference dressed as analysis rather than a consequence of the case.

Compare at least two feasible options against the same criteria. State who benefits under digital ethics, who bears cost or risk, what capability implementation requires and what evidence would reveal failure.

This comparison is essential when students need to evaluate AI or viral tactics for evidence, brand, harm and governance, because an attractive option is not defensible until its trade-offs are visible.

Rehearse the mktg30009 generative AI response as a short briefing: one sentence for the decision, two for the evidence and mechanism, one for the alternative and one for the qualified recommendation.

Then expand only the virality move that needs more support. This protects the argument structure under a strict word or time limit.

Transfer to AI, Ethics, Virality and Digital Synthesis

A complete response should make the task visible before the detail: identify what must be decided, define the relevant terms, connect the evidence to virality, and use digital ethics to test the result.

The final sentence about digital ethics should answer the question actually asked rather than merely repeat the topic.

The controlling limit is specific: Novelty and reach do not establish truth, consent, value or accountability.

Keep that digital ethics limit beside the worked example, because it separates a careful mktg30009 answer from one that sounds confident but claims more than the task or evidence supports.

For revision, retrieve generative AI, virality and digital ethics without notes, explain their relationship aloud, then complete a changed version of the application: evaluate AI or viral tactics for evidence, brand, harm and governance.

Record the first failed virality reasoning move and repair it before attempting another case.

What this chapter covers

• 01

  generative AI

• 02

  virality

• 03

  digital ethics

• 04

  Applying generative AI

• 05

  Limits of virality and digital ethics

Reject a synthetic testimonial

Key terms

generative AI

System producing content or predictions from learned patterns and user-provided context. This chapter uses the concept when students evaluate AI or viral tactics for evidence, brand, harm and governance. Use this definition when the task is to evaluate AI or viral tactics for evidence, brand, harm and governance.

virality

Rapid networked diffusion driven by sharing and recommendation dynamics. It helps explain the reasoning required to evaluate AI or viral tactics for evidence, brand, harm and governance. Use this definition when the task is to evaluate AI or viral tactics for evidence, brand, harm and governance.

digital ethics

Evaluation of power, harm, autonomy, fairness and accountability in digital decisions. Its limit matters because novelty and reach do not establish truth, consent, value or accountability. Use this definition when the task is to evaluate AI or viral tactics for evidence, brand, harm and governance.

AI, Ethics, Virality and Digital Synthesis FAQ

Exam move

Reconstruct the relationship among generative AI, virality and digital ethics; complete the chapter application without notes; then test the result against this limit: Novelty and reach do not establish truth, consent, value or accountability.

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