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UofT-DSI | SQL - Homework 6 #6

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<br>

**Write**: Reflect on your previous work and how you would adjust to include ethics and inequity components. Total length should be a few paragraphs, no more than one page.

**My answer:**

As I reflect on my career as a Software and Data Engineer and consider transitioning into AI-focused roles, such as Machine Learning Engineering, I recognize the importance of integrating ethics and equity. While my extensive experience with SQL databases provides a strong foundation, it must be complemented by a solid ethical and equity framework.

To address this, I would enhance my approach by implementing robust privacy controls and consent mechanisms, ensuring proper authorization before accessing sensitive data, and applying data masking techniques. Additionally, I would incorporate bias detection and mitigation strategies throughout my data pipelines, using fairness metrics to monitor and address systemic inequalities over time. I plan to leverage machine learning algorithms designed to identify and mitigate bias in data-driven decision-making processes.

In transitioning to AI roles, I understand the need to be more thoughtful about data representation and inclusivity. For example, I would pay closer attention to column sizes in databases for fields like names, addresses, and phone numbers. Accounting for diverse cultures and traditions in these aspects can significantly improve the usability and accessibility of our systems. Moreover, I would prioritize transparency and explainability in my work, thoroughly documenting data sources, transformations, and analysis methods.

Compliance with relevant regulations such as the Personal Information Protection and Electronic Documents Act (PIPEDA) in Canada will remain integral to my projects. Risk assessments to identify possible vulnerabilities should be conducted regularly. I would also instill a culture of continuous improvement in my teams through open discussions about ethical implications and by keeping myself abreast of the dynamic landscape of standards related to data ethics, machine learning, and technologies.

With these inclusions in my practice, I trust that I may help develop responsible AI systems that strive for both functionality and ethical integrity.