AI can either amplify women’s empowerment or automate discrimination. Examine this statement. Illustrate with domains where women are most vulnerable.
Kartavya Desk Staff
Topic: Awareness in the fields of IT
Topic: Awareness in the fields of IT
Q6. AI can either amplify women’s empowerment or automate discrimination. Examine this statement. Illustrate with domains where women are most vulnerable. (10 M)
Difficulty Level: Medium
Reference: DTE
Why the question AI is rapidly entering labour markets, finance, health, welfare delivery and safety systems, where women already face structural disadvantages. Key Demand of the question You have to examine the statement by briefly showing both sides of AI’s impact on women, and then illustrate with the most vulnerable domains where women face the highest risk of exclusion, bias or harm. Structure of the Answer Introduction Start with showing AI as a decision-making infrastructure shaping rights, opportunities and access, and link it to the risk of bias when women are underrepresented in AI design. Body Explain empowerment potential through improved access to finance, health services, safety tools, and targeted public services. Explain discrimination risk through biased hiring algorithms, welfare exclusion due to digital gaps, and surveillance/deepfake harms. Illustrate vulnerability domains such as labour markets, digital finance, public service delivery, and online safety. Conclusion End with a solution-oriented line that inclusive design, transparency, and accountability are essential to ensure AI becomes gender-just rather than bias-amplifying.
Why the question AI is rapidly entering labour markets, finance, health, welfare delivery and safety systems, where women already face structural disadvantages.
Key Demand of the question You have to examine the statement by briefly showing both sides of AI’s impact on women, and then illustrate with the most vulnerable domains where women face the highest risk of exclusion, bias or harm.
Structure of the Answer
Introduction Start with showing AI as a decision-making infrastructure shaping rights, opportunities and access, and link it to the risk of bias when women are underrepresented in AI design.
• Explain empowerment potential through improved access to finance, health services, safety tools, and targeted public services.
• Explain discrimination risk through biased hiring algorithms, welfare exclusion due to digital gaps, and surveillance/deepfake harms.
• Illustrate vulnerability domains such as labour markets, digital finance, public service delivery, and online safety.
Conclusion End with a solution-oriented line that inclusive design, transparency, and accountability are essential to ensure AI becomes gender-just rather than bias-amplifying.