“…The International Statistical Institute 27 have outlined 12 ethical principles for statisticians, namely, “Pursuing Objectivity, Clarifying Obligations and Roles, Assessing Alternatives Impartially, Conflicting Interests, Avoiding Preempted Outcomes, Guarding Privileged Information, Exhibiting Professional Competence, Maintaining Confidence in Statistics, Exposing and Reviewing Methods and Findings, Communicating Ethical Principles, Bearing Responsibility for the Integrity of the Discipline, and Protecting the Interests of Subjects.” Even though infographics are widely accepted as effective means of communication to present complex statistical results, there is still a lack of understanding of how the users are impacted from an underlying ethical issue. In the related fields of AI and machine learning, there is the AI4People ethical framework, which is also relevant for data science and which has been widely used and applied to domain‐specific research, including ethical computing and cybersecurity 28–31 …”