Professional codes of ethics act a lot like a roadmap—they give you direction when you’re not sure how to handle a situation. In technology, decisions are rarely black‑and‑white, so having a shared ethical standard helps keep everyone grounded. These codes remind professionals to slow down, think through the consequences, and choose actions that reflect honesty, fairness, and respect (ACM, 2018). For me, it’s helpful because it takes the guesswork out of “What’s the right thing to do here?”
Ethical codes also benefit an entire profession in significant ways. First, they help build public trust. People feel more comfortable relying on a field—whether it’s IT, healthcare, or law—when they know those professionals follow an established set of values. Second, these codes help protect the profession’s reputation by setting expectations for accountability. When someone violates the code, there’s a framework for addressing it, which keeps the whole field from being judged by one person’s mistakes.
B. Two Principles from the ACM Code of Ethics
The two ACM principles that stood out to me were:
- 1.1 – Contribute to society and human well-being
- 1.2 – Avoid harm
B1. Why These Principles Matter for My Career
1.1 feels especially important for my future in IT because someone will eventually use everything we build. Whether I’m designing a website, improving accessibility, or troubleshooting a system issue, the end goal is always to make someone’s life easier. This principle is a reminder to stay focused on the human side of technology instead of getting lost in the technical details. Principle 1.2, “avoid harm,” connects directly to why I’m drawn to ethical tech in the first place. Technology can cause problems really fast if it’s not handled responsibly—things like data leaks, broken features, or confusing designs can frustrate or even hurt users. In my future roles, this principle pushes me to test more carefully, think through risks, and take responsibility for the systems I help create. It’s basically the “slow down and do it right” rule that I appreciate having in writing.
C. Impact of Bias in Technology
C1. Two Negative Impacts of AI Bias or Misinformation
1. AI bias can lead to unfair or discriminatory outcomes.
If the data an AI system learns from is biased, the system will automatically repeat those patterns. We’ve seen examples where hiring algorithms filtered out specific demographics because of patterns hidden in historical data. The scary part is that AI can scale those biased decisions to thousands of people instantly, making unfair treatment even more challenging to notice.
2. AI misinformation can damage trust and spread false information quickly.
AI tools can generate content that looks legitimate even when it’s completely false. Whether it’s a fake image, a misleading summary, or incorrect “facts,” misinformation can shape public opinion and behavior before anyone realizes the information isn’t real. This kind of problem doesn’t just confuse people—it can undermine trust in technology, news, institutions, and even the people who rely on those systems.
C2. How the ACM Code Helps Address These Issues
Principle 1.2 – Avoid harm directly applies to misinformation risks. When developers follow this principle, they’re expected to identify possible harmful outcomes before releasing a system (ACM, 2018). That means being aware of how an AI model could generate misleading content, testing for accuracy, adding guardrails, and clearly communicating limitations to users. Using this principle helps developers design systems that reduce the spread of harmful misinformation and protect the public’s trust.
Personal Work Example
A situation from my own work experience helped me understand how critical ethical guidelines really are. In my previous role, I managed updates and plugins for a WordPress site. One day, I noticed a plugin that hadn’t been updated in a long time and had recently been flagged for security vulnerabilities. It wasn’t causing obvious issues yet but leaving it installed was a risk. Instead of ignoring it or rushing the update—which could break parts of the site, I followed best practices: backed up the site, tested the update in a staging environment, and confirmed it was safe before deploying it.
That small decision reflects the “avoid harm” principle. It would’ve been easy to take a shortcut, but doing it carefully protected user data and ensured the site stayed secure. That experience showed me firsthand how ethical guidelines aren’t just abstract rules—they apply to everyday tasks, and they help you make choices that protect real people.
D. Sources
ACM. (2018). ACM Code of Ethics and Professional Conduct. https://www.acm.org/code-of-ethics