Generative AI has amplified non-consensual sexual imagery under the guise of free speech and innovation. Analyse this phenomenon as a form of digital gendered violence and evaluate the ethical responsibility of AI designers and corporate leadership.

Question

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Introduction

Generative AI has amplified non-consensual sexual imagery, disproportionately targeting women and marginalised groups.
Such content violates privacy, dignity, and autonomy, constituting digital gendered violence.
The Deepfake Detection Challenge (2023) reports over 90% of online deepfake sexual content involves non-consenting women.

Key Aspects

Legal and Regulatory Framework:
- India’s IT Act, 2000: Section 66E (privacy violation) and Section 67 (sexually explicit content).
- Enforcement is challenged by technological complexity and cross-border content dissemination.
- EU AI Act proposes risk-based governance to mitigate harm.
Free Speech Dilemma:
- Differentiating between legitimate creative expression and harmful misuse remains complex.
- Platforms often rely on community guidelines, but these are inconsistent.

Ethical Responsibility of AI Designers and Leadership

Transparent datasets and consent-based training are essential.
Bias audits, robust moderation, and independent accountability mechanisms are required.
Incorporating gender-sensitive ethical frameworks in AI development prevents structural exploitation.

Implications and Policy Measures

Mandatory AI impact assessments before public release of models.
Collaboration with civil society and watchdog organisations to monitor misuse.
Legal penalties for platforms facilitating non-consensual content.
International cooperation to curb cross-border dissemination.

Conclusion

Generative AI represents a dual-use technology: fostering innovation while enabling digital gendered violence.
Ensuring ethical AI design, robust moderation, and regulatory oversight balances technological progress with protection of individual dignity and rights.

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