AI Ethics Corporate Communication

Explain why the meaning of ethical AI is contested rather than technically fixed.

Apply consequentialist and duty-based reasoning to an AI deployment scenario.

Apply rights, justice, and care perspectives to an AI deployment scenario.

Identify sociotechnical harms and affected stakeholders in an AI deployment scenario.

Apply problem definition, causal interpretation, moral evaluation, and treatment recommendation to identify a corporate frame.

Classify corporate communication genres according to their likely communicative functions.

Identify strategic ambiguity in a corporate statement about AI responsibility.

Distinguish pragmatic, moral, and cognitive legitimacy claims in corporate communication.

Classify legitimation strategies as authorization, moral evaluation, rationalization, or mythopoesis.

Compare the framing of the same AI issue across two audience-specific corporate texts.

Explain the main critical objections to principles-based approaches to AI ethics.

Distinguish substantive ethical governance from ethics-washing.

Identify signs of decoupling between a company's public commitments and its documented practices.

Evaluate whether a corporate transparency claim is supported by accessible evidence.

Analyze whose interests, harms, and forms of power are omitted from an ethical AI narrative.

Apply an ethics-washing assessment rubric to a corporate AI communication artifact.

Create a concise case profile of OpenAI focused on stakeholders, business dependencies, and pressures relevant to ethics communication.

Create a concise case profile of Anthropic focused on stakeholders, business dependencies, and pressures relevant to ethics communication.

Create a concise case profile of Microsoft focused on stakeholders, business dependencies, and pressures relevant to ethics communication.

Map consumer, enterprise, and government or defense communication contexts across the three companies.

Derive theory-informed analytical expectations for the three cases without treating them as findings.

Revise the second research question to compare communication contexts within the three-company case design.

Define ethical AI, framing, legitimation, and ethics-washing for use in the study.

Justify an embedded comparative case-study design for the research questions.

Select a defensible unit of analysis for the corporate communication corpus.

Set a temporal boundary that makes the corpus analytically coherent.

Write inclusion and exclusion criteria for corporate materials.

Build a purposive sampling matrix covering companies, communication contexts, and document genres.

Create a metadata and provenance protocol for collecting changeable online materials.

Derive deductive codes from framing, legitimacy, and critical AI ethics literature.

Generate inductive codes from a pilot sample of corporate materials.

Write observable indicators for each framing code.

Write observable indicators for each legitimation code.

Write observable indicators for each ethics-washing assessment category.

Establish coding-unit and overlapping-code rules for the study.

Pilot-code a small, varied sample from the proposed corpus.

Revise the codebook using ambiguities and edge cases found during pilot coding.

Create a within-case matrix connecting frames, audiences, genres, and supporting excerpts.

Compare consumer, enterprise, and government or defense communication within one company.

Compare the three companies within the same communication context.

Analyze meaningful silences and absences in the corporate corpus.

Test an interpretation against negative cases and plausible alternative explanations.

Triangulate corporate claims with governance documents, product evidence, and external accountability evidence.

Distinguish evidence of a communication's legitimating effect from claims about unverifiable corporate intent.

Maintain an audit trail documenting sampling, coding, and interpretive decisions.

Organize the literature review around debates rather than source-by-source summaries.

Build a conceptual framework connecting ethical AI, framing, legitimacy, and ethics-washing.

Check alignment among each research question, data source, code family, and analytical output.

Write an analytical paragraph using a claim, evidence, interpretation, and theoretical warrant.

Distinguish descriptive findings from theoretical discussion in a thesis chapter.

Construct an evidence matrix that supports explicit answers to all three research questions.

Formulate limitations and a reflexive positionality statement for the study.

Produce a thesis proposal outline and a six-week research preparation plan.