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In Ethical Data Futures course, I focused on the case about Open AI’s use of Kenyan labor to reduce ChatGPT’s toxicity, especially its ethical issues. In group discussions, peers used “ethical evaluation” to evaluate practices and “ethical thinking” to compare values. This practice is essential for social advancement but raises ethical questions about outsourced workers’ rights. I wondered if outsourced workers’ rights and interests can be protected when needed to develop social and if there is a better way to protect stakeholders and outsourced workers. Stakeholder and technical development over their interests? Second, according to An Introduction to Data Ethics, the data challenge about this case is data hygiene and relevance (in the context of data cleanup) . Elements include what are the practices and procedures for data validation and auditing in each context. Are they necessary constraints to ensure data compliance with practice data practices? I try to use Ethical Contestation and Ethical Decision-making to make the most ethical decision after balancing stakeholder values. The coursework describes Ethical Contestation as employing moral reasoning and value appeals to challenge the ethical acceptability, legitimacy, or goodness of a particular action, policy, practice, or choice or to explain opposition to the power of a person, organization, institution, product, or system; Ethical Decision-making is applying moral thinking and practice to make a morally justifiable or morally decent decision or plan.

This experience has inspired me to think more about ethics and morality. For example, I use utilitarian ethics to help identify the ethical responsibilities that need to be fulfilled. In this case, outsourcing work does help capitalists reduce costs, but for poor workers, such work may be the only source of income. The key issue is whether the rights and safety of poor workers can be ensured, including that salaries are not lower than the local minimum wage and that working conditions comply with laws and regulations. If these issues are not adequately considered and addressed, then this type of outsourcing is unethical. Capitalists cannot outsource tedious and harmful work to poor workers and pay them only low wages simply because they want to develop artificial intelligence technology. Also, this kind of behavior does not help the workers to get a higher promotion and provide little room for advancement. Such a practice violates human and labor rights and tends to raise issues of social inequity and economic poverty. Therefore, we should pay attention to and promote technological progress while caring for the labor rights and interests of poor workers and weigh the interests so that the two can achieve a harmonious coexistence in the process of promoting social progress. Only when some fundamental issues of equity and social justice related to social development are addressed can we expect to create a more balanced system of social development to address the difficulties of industrialized countries. Overall, I attempt to call for consideration of the grand scheme of things alongside broader issues critical to human development – global justice.