Engineering for Equity: Addressing Systemic Bias in Software Development
- Nongcebo Buthelezi
- Oct 3, 2023
- 2 min read
by: Nongcebo Buthelezi

As technology becomes more integrated into our daily lives, it's increasingly important that software engineers account for the ways in which their work can perpetuate systemic biases. From biased algorithms to exclusionary hiring practices, there are numerous ways in which software development can perpetuate inequality. In this blog post, we'll explore some practical advice for software engineers who want to design and build more equitable systems.
Understand the Impact of Biases in Software Development
The first step towards creating equitable systems is understanding how biases can manifest in software development. Biases can manifest both in the data that machine learning algorithms are trained on, as well as in the algorithms themselves. For example, if a facial recognition algorithm is trained on a dataset that overrepresents certain racial groups, it may be less accurate for people who do not fit within that group. Similarly, hiring algorithms that rely on certain keywords may exclude qualified candidates who do not fit certain profiles.
Commit to Ethical Decision-Making
To build more equitable systems, software engineers must commit to ethical decision-making. This involves taking active steps to identify and mitigate any biases that may be present in the data or algorithms being used. One way to ensure that ethical considerations are taken into account is by involving stakeholders from diverse backgrounds in the design and development process.
Identify and Address Biases in Code
Finally, software engineers should be proactive in identifying and addressing any biases that may be present in their code. This can involve reviewing code to identify areas where biases may be present, as well as implementing strategies to mitigate any biases that are found. For example, if an algorithm is found to be biased towards certain groups, it may be necessary to adjust the weightings used to account for this bias.
Conclusion
Software development has the potential to perpetuate systemic biases, but it can also be a powerful tool for promoting equity and inclusion. By understanding the ways in which biases can manifest in software development, committing to ethical decision-making, and being proactive in identifying and addressing biases in code, software engineers can help to create more equitable systems that benefit everyone.
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