Lab Activity: Digital Humanities

This blog reflects on the lab activity where we were asked to play the Moral Machine game, watch the three video segments, and then write a summary of them. The task was assigned by Dilip Barad sir.

Experience and learning outcome of Moral Machine Activity.

While playing the Moral Machine car game, I was required to make instant choices about whom the self-driving car should save in tough moral situations. The task put me in a position to decide between lives—such as young versus old, wealthy versus poor, humans versus animals, or passengers versus pedestrians. It was difficult because there was no absolute “right” answer; each decision had its own consequences. These scenarios highlighted how technologies like AI encounter ethical dilemmas that are often resolved through human judgment.

Learning Outcome:

Complex nature of ethics:
Moral decisions are never simple; each option demands weighing values and making difficult compromises.

Influence of bias:
I noticed that my personal feelings, cultural background, and perspectives played a role in shaping my choices.

Ethics in AI:
The activity underlined the necessity of integrating moral reasoning into machines, as they may need to decide in critical situations.

Developing critical perspective:
It pushed me to question—Whose life holds greater worth? Should obedience to law take priority over factors like age or social class?