Ethics of AI and technology
Why this matters
As AI and technology shape our future, understanding their ethical implications is paramount. It helps you think critically about privacy, bias, and control, preparing you to be a responsible user and even a creator in a world increasingly run by smart machines.
7-day study plan
- Read
Artificial Intelligence is no longer a concept from science fiction; it is part of our daily lives in India, from UPI payment security to movie recommendations on streaming apps. AI ethics is the field of study that asks whether these systems are doing the right thing. It is not just about whether a machine works, but whether it is fair, safe, and beneficial to humanity. As we integrate AI into critical sectors like healthcare and defense, we face dilemmas. For instance, if an AI system decides who gets a bank loan, is it using fair criteria? Consider an Indian student using an AI-based career counseling app. The AI might suggest engineering to a boy and teaching to a girl based on old patterns it found online. This is an ethical issue because the machine is reinforcing stereotypes rather than looking at individual potential. Ethics helps us set boundaries to ensure technology serves us without taking away our agency or dignity. It covers big questions like job loss due to automation and the scary possibility of autonomous weapons that can make life-or-death decisions without a human pulling the trigger. To begin thinking ethically, follow these three steps: First, identify the stakeholders, or who is affected by the AI. Second, consider the potential harms, such as loss of privacy or unfair treatment. Third, ask if the outcome aligns with human values like honesty and kindness. By questioning technology instead of blindly accepting it, you become a conscious digital citizen rather than just a consumer.
DoRead an introduction to the ethical dilemmas posed by Artificial Intelligence (e.g., job displacement, autonomous weapons).
Check yourself- What is the primary goal of AI ethics?
- Why is human agency important when using AI systems?
- Identify one major ethical dilemma mentioned in today's reading.
Revision notes
- AI ethics addresses the moral implications and societal impact of artificial intelligence systems.
- Algorithmic bias occurs when AI systems reflect human biases present in their training data, leading to unfair results.
- Privacy concerns arise from AI's ability to collect, analyze, and infer sensitive information about individuals.
- Accountability in AI is complex; determining who is responsible for AI's errors or harms is a key challenge.
- AI's impact on employment, requiring new skills and potentially displacing certain jobs, is a major ethical consideration.
- Transparency (explainability) in AI is crucial; understanding how AI makes decisions helps build trust and identify biases.
- The development of autonomous weapons systems raises profound ethical questions about human control and responsibility.
- Ethical AI design should prioritize human well-being, fairness, safety, and respect for individual rights.
Global case studies
Amazon's Biased AI Recruiting Tool
Amazon developed an AI tool to streamline recruiting, but in 2018, they scrapped it because it showed bias against women. The AI had learned to penalize résumés that included the word 'women's' (as in 'women's chess club') because it was trained on historical data from a male-dominated tech industry.
Takeaway: AI systems are only as unbiased as the data they are trained on; careful design is essential to prevent discrimination.
Aadhaar System's Privacy Concerns
India's Aadhaar unique identification system, while aiming to streamline public services, has faced significant ethical debates regarding privacy, data security, and potential for surveillance, leading to court cases and public discussions about balancing utility with individual rights.
Takeaway: Large-scale data collection by technology systems, even with good intentions, requires robust privacy safeguards and public oversight.
Try this week
Watch a short documentary or read an article about a real-world application of AI (e.g., facial recognition, medical AI). Identify at least two ethical concerns raised by this application and suggest a way to mitigate one of them.
Chapter test
One combined MCQ test for all 10 lessons in this chapter. 1 mark per question, no negative marking. Score 60% or more to unlock your certificate.
Chapter test