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Create pull request for homework6 #6

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19 changes: 19 additions & 0 deletions 02_activities/homework/homework_6.md
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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.

Answer:

To reflect on the previous work, the following three aspects need to be considered. SQL also plays a crucial role in how data is accessed, manipulated, and updated, which directly impacts these components.

Data Privacy and Ethical Use:

In my previous work, especially when dealing with customer or vendor data, privacy should always be a primary consideration. For instance, sensitive information such as customer names or payment details should be anonymized or encrypted before any query processes them. Additionally, limiting access to sensitive data with proper role-based permissions ensures that only authorized personnel can query or modify certain records.

Fairness and Inequity:

When working with product inventories or pricing strategies, equity must also be considered. For example, if we use SQL to update pricing models or discount structures, we should ensure these updates do not disproportionately affect underprivileged groups or regions. An inequitable distribution of discounts or promotions could unintentionally favor certain demographics, leading to unfair practices.

Transparency and Accountability:

Finally, transparency in decision-making processes should be enforced through clear and auditable SQL logs. Using tools like triggers or version control for data changes can ensure that we have a record of who made changes and why. This would make the process more accountable and address ethical concerns of manipulation or fraud.

In summary, ethical considerations such as data privacy, fairness, and transparency can be incorporated into SQL-based workflows by using encryption, role-based access control, and data-driven analysis to mitigate inequity in business operations. Going forward, it is crucial to continuously assess how these components are integrated into SQL queries to ensure that we are managing data responsibly and equitably.