HBS's shared synthesis activity needs a confidentiality-safe project brief

Application work can create a disclosure boundary

The HBS Online guide describes a required two-part synthesis activity in which participants propose an AI project and interact with others' work. It also states that submissions and responses are shared and warns participants not to disclose confidential or private information. That is valuable, program-specific evidence about the learning format and a clear provider caution. It does not tell an employer which customer, employee, financial, product, security, legal, or strategic facts are sensitive in the participant's role. A sponsor choosing the program should therefore plan the application assignment before enrollment so a useful workplace question does not become an accidental disclosure channel.

Create a sanitized project brief

The sponsor and participant can define the business problem at a level that preserves the learning job without exposing restricted facts. The brief should name the decision to practice, the intended learner outcome, the permitted public or synthetic evidence, prohibited information classes, approved company and product naming, citation expectations, and the person who can review the draft. Customer and employee records, unreleased plans, source code, credentials, contract terms, nonpublic financials, security details, privileged advice, and identifiable internal incidents should remain out unless an authorized process explicitly permits them. When real facts are unnecessary, use a fictional organization, ranges, generalized roles, or public data and label the substitution.

Review before the shared submission

Before upload, the participant should inspect the project statement, attachments, citations, generated text, comments, filenames, and document metadata for direct identifiers and facts that can be combined to reveal something sensitive. A qualified manager, learning sponsor, or information owner should review higher-risk cases; the participant should not assume the course platform's warning is an employer approval. The review record can be lightweight: what was removed or generalized, which evidence is public or synthetic, who approved the boundary, and which questions remain. If the participant cannot explain the source or authorization for a detail, that detail should not enter the shared activity.

Transfer the learning after the course

Sanitization should not turn the activity into an abstract exercise with no workplace value. After the shared course work is complete, the sponsor can hold a private transfer review using authorized internal evidence. The participant can compare the course proposal with the real operating context, identify assumptions that fail, define human decision rights, and design a small governed test without copying peer material or course submissions into production. Measures should focus on the participant's ability to frame the decision, judge evidence, state risks, and set a review boundary. The provider controls the course and certificate; the employer remains accountable for information handling and any workplace implementation.

Turn this source into a reviewable decision

For AI Leadership Programs for Executives, use this briefing as a dated decision record rather than a substitute for the source. Preserve Harvard Business School Online AI Essentials for Business Synthesis Activity Guide, the exact URL, the August 19, 2026 review date, the supported facts above, the editorial interpretation, the limitations, and any buyer-specific evidence. Link that record to the decisions most directly affected: Applied work and feedback; Learning job and level; Transfer to organizational work; Format and time architecture. State whether the source changes the scope, evidence requirement, control, sequence, or only the language used to describe the decision.

Before action, name the accountable owner, affected population and workflow, exact offering or configuration, source data and rights, human decision point, exception and appeal path, complete cost, expected benefit, failure and stop conditions, retained evidence, and next review date. Keep official facts, provider statements, buyer observations, representative tests, measured outcomes, editorial inferences, and unknowns visibly separate. Reopen the record when the source, offer, model, integration, data, policy, population, responsible person, or measured result changes.

Limitations and unknowns

Harvard Business School Online is the provider source. Its current guide describes a required, shared synthesis activity, an AI project proposal, participant interaction, and a warning not to disclose confidential or private information. It does not independently establish a participant's enrollment and access, employer information classifications, authorized project scope, safe substitutions, review quality, originality, learning, competence, workplace transfer, implementation approval, or business outcome. Current course and enrollment materials, employer policies, sanitized submissions, participant needs, sponsor review, and qualified learning, privacy, security, intellectual-property, records, accessibility, procurement, and legal review control.