Ethics In Technology (D333) Exam Topics and Questions

Technology ethics is the foundation the rest of this exam builds on. Before the exam asks you about codes, frameworks, or bias, it expects you to be comfortable with the basic question: what does it mean to act rightly when technology mediates the consequences of your decisions? This topic covers the conceptual ground, meaning the vocabulary, the competing ethical traditions, and the relationship between technological power and moral responsibility. Get this grounding wrong and every later topic suffers for it.

The examinable angle here is not a catalogue of historical theories. It is knowing which tradition applies to which kind of problem, and why that distinction matters. Consequentialist thinking weighs outcomes across everyone affected. Deontological thinking asks whether the action itself is permissible regardless of outcome. Virtue ethics shifts the question to the character of the person deciding. The exam will put you in situations where these traditions point in different directions, and you need to know which lens the question is using before you can pick the strongest response.

Technology amplifies the stakes of ordinary decisions. A developer choosing what data to collect, or an analyst deciding what to surface in a report, is making an ethical choice whether or not they frame it that way. This topic trains you to recognise those moments.

How Ethics in Technology is tested

Items on this topic tend to present a scenario involving a technology professional facing a decision with ethical dimensions, then ask you to identify the ethical principle at stake or the tradition that best explains why a particular course of action is right or wrong. The demand is classification and application, not recall of definitions.

Candidates lose marks here by confusing ethical traditions with each other or by applying a personal intuition rather than a named framework. The exam rewards the candidate who can read a scenario, identify the moral structure of the problem, and match it to the appropriate tradition. Knowing that consequentialism focuses on aggregate outcomes while deontology focuses on duties is not enough; you need to be able to tell which one a given scenario is testing.

Another common trap is treating technology as ethically neutral. Items often reward the recognition that design choices, defaults, and data practices are themselves moral decisions, not merely technical ones. Candidates who treat ethics as something layered on top of technology after the fact tend to pick weaker responses than those who see it as embedded throughout.

Once you have the underlying ethical traditions in place, the exam moves to how those traditions get institutionalised. Professional codes of ethics are the formal structures that translate broad moral principles into specific obligations for practitioners. The key shift here is from abstract theory to enforceable expectation. Where the previous topic asked what is right, this one asks what your profession has already decided is right, and what happens when you deviate from it.

The examinable angle is not memorising code text. It is understanding what codes do: they set a floor of acceptable behaviour, resolve conflicts between competing loyalties, and give practitioners a defensible basis for refusing unethical instructions. Knowing why a code is structured the way it is matters more than knowing every clause.

How Explaining professional ethical codes and their role in guiding professional behavior is tested

Items on this topic place a professional in a situation where their employer's interest, a client's request, or a colleague's behaviour conflicts with a code obligation. The question asks you to identify the appropriate response under the code, or to explain what function the code serves in that situation.

The trap most candidates fall into is treating a professional code as advisory rather than obligatory. Items reward the recognition that codes create duties, not suggestions, and that those duties can override instructions from above. A second common error is assuming that following orders satisfies the code. It does not, and the exam tests that directly.

You should also be ready for items that distinguish between different levels of a code: aspirational principles versus enforceable rules. The strongest responses on these items show that the candidate understands a code has internal structure, not just a list of prohibitions. Candidates who treat all clauses as equivalent tend to select responses that are plausible but too weak.

From the obligations that govern professionals, the exam moves to the specific territory where those obligations are most frequently tested in practice: data. Privacy, accuracy, access, and security are not four separate concerns that happen to share a topic heading. They interact. A decision to expand access affects privacy. A failure of security undermines accuracy. Candidates who treat them as a checklist rather than a system tend to struggle when scenarios involve trade-offs between them.

The domain is also where law and ethics overlap most visibly. Regulatory frameworks exist precisely because market incentives alone do not reliably protect data subjects. The exam expects you to know where ethical obligation and legal requirement converge, and where they diverge.

How Describing ethical issues regarding data privacy, accuracy, access, and security is tested

Scenario items here typically describe an organisation collecting, storing, sharing, or publishing data, then ask you to identify what ethical issue is present or what the appropriate response is. The demand is diagnosis: read the situation, name the problem accurately, and select the response that addresses the actual ethical breach rather than a nearby one.

Candidates lose marks by conflating privacy with security, or by treating accuracy as a purely technical concern rather than an ethical one. Inaccurate data causes real harm to real people, and the exam rewards candidates who recognise that harm, not just the technical failure behind it.

Access raises its own distinct question: who has a legitimate claim to data, and under what conditions? Items on access often reward the recognition that both over-restriction and under-restriction carry ethical costs. The strongest responses acknowledge the competing interests rather than defaulting to maximum restriction or maximum openness. Security items tend to reward proportionality: the response that matches the control to the sensitivity of the data, rather than applying the most extreme measure available.

Knowing that ethical frameworks exist is different from being able to use one under pressure. This topic is about application: given a real decision point, which framework do you reach for, how do you apply it, and what do you do when it does not give you a clean answer? The information age adds specific complications, including speed, scale, and the diffusion of responsibility across systems and teams, that older frameworks were not designed to handle. The exam tests whether you can work with those complications rather than pretend they are not there.

How Implementing ethical decision-making frameworks in the information age is tested

Items on this topic are the most procedural on the exam. They describe a decision point and ask you to identify the correct step in a decision-making process, or to evaluate which framework would produce the most defensible outcome in the given context. The demand is process knowledge applied to a specific situation.

The most common error is skipping steps. Ethical decision-making frameworks have sequences, and items reward following the sequence rather than jumping to a conclusion that feels right. Candidates who go straight to an outcome without working through stakeholder identification, principle selection, and consequence evaluation tend to select responses that are directionally correct but procedurally incomplete.

The information age dimension matters here. Items may involve algorithmic decision-making, automated systems, or decisions made at scale where individual oversight is limited. The exam rewards candidates who recognise that scale does not dissolve ethical responsibility: it redistributes it. Identifying who holds responsibility when a system, rather than a person, makes the consequential decision is a live examinable question.

The final topic brings the exam's focus inward. Every ethical framework and professional code described in the earlier topics is implemented by human beings who carry their own biases, and those biases shape outcomes in ways that legal frameworks have increasingly tried to address. This topic tests whether you can recognise bias in a professional context, name the type of bias at work, identify a practical intervention, and understand where the law becomes relevant. It is the most self-reflective part of the exam, and candidates who approach it abstractly rather than practically tend to underperform.

How Identifying interventions for personal bias and related legal concerns is tested

Items on this topic present a professional or organisational scenario and ask you to identify the bias present, the intervention most likely to address it, or the legal principle that applies. Sometimes all three are in play within a single item.

The trap here is confusing bias types with each other. Confirmation bias, affinity bias, automation bias, and anchoring each produce different patterns of error and call for different interventions. Items reward the candidate who matches the intervention to the specific bias rather than applying a generic fix.

The legal dimension is equally precise. Anti-discrimination law, for example, distinguishes between disparate treatment and disparate impact, and the exam tests that distinction directly. Items reward candidates who can identify which legal concept applies without conflating the two. A third common error is treating bias as purely individual. Systemic bias embedded in processes or data pipelines is equally examinable, and the interventions for it operate at a different level than individual awareness training. Candidates who recognise that distinction select stronger responses.