Q. There is a technological company named ABC Incorporated which is the second largest worldwide, situated in the Third World.
You are the Chief Executive Officer and the majority shareholder of this company. The fast technological improvements have raised worries among environmental activists, regulatory authorities, and the general public over the sustainability of this scenario. You confront substantial issues about the business’s environmental footprint. In 2023, your organization had a significant increase of 48% in greenhouse gas emissions compared to the levels recorded in 2019. The significant rise in energy consumption is mainly due to the surging energy requirements of your data centers, fuelled by the exponential expansion of Artificial Intelligence (AI). AI-powered services need much more computational resources and electrical energy compared to conventional online activities, notwithstanding their notable gains. The technology’s proliferation has led to a growing concern over the environmental repercussions, resulting in an increase in warnings.
Al models, especially those used in extensive machine learning and data processing, exhibit much greater energy consumption than conventional computer tasks, with an exponential increase. Although there is already a commitment and goal to achieve net zero emissions by 2030, the challenge of lowering emissions seems overwhelming as the integration of AI continues to increase. To achieve this goal, substantial investments in renewable energy use would be necessary. The difficulty is exacerbated by the competitive environment of the technology sector, where rapid innovation is essential for preserving market standing and shareholders’ worth. To achieve a balance between innovation, profitability and sustainability, a strategic move is necessary that is in line with both, business objectives and ethical obligations.
a) What is your immediate response to the challenges posed in the above case?
b) Discuss the ethical issues involved in the above case.
c) Your company has been identified to be penalized by technological giants. What logical and ethical arguments will you put forth to convince about its necessity?
d) Being a conscience being, what measures would you adopt to maintain balance between Al innovation and environmental footprint?
UPSC Mains 2024 GS4 Ethics Paper
Model Answer:
This case embodies the classic “Profit vs. Planet” dilemma, testing corporate governance and ESG commitments amidst explosive AI expansion in a developing nation context.
1. (a) Immediate Response & (b) Ethical Issues
Immediate Responses:
- Audit & Transparency: Publicly disclose the 48% emission spike to stakeholders, upholding corporate accountability and trust.
- ESG Task Force: Constitute an urgent cross-functional committee to map specific data-center energy inefficiencies.
- Triage Operations: Temporarily throttle non-critical, high-compute AI training tasks until efficiency metrics improve.
Ethical Issues Involved:
- Intergenerational Equity: Pursuing short-term technological dominance at the cost of long-term planetary survival.
- Fiduciary vs. Ecological Duty: The friction between maximizing shareholder wealth and broader environmental stewardship.
- Integrity Deficit: Contradicting the firm’s professed 2030 net-zero commitment.
- Climate Injustice: AI-driven environmental degradation disproportionately impacts vulnerable Third World populations.
2. (c) Arguments Against Penalties & (d) Balancing Measures
Arguments Against Imposed Penalties:
- CBDR Principle: Third World firms require transitional carbon space; blanket penalties ignore historical emission contexts (Climate Justice).
- Utilitarian Necessity: Indigenous AI innovations offer immense potential for solving critical localized challenges (e.g., healthcare, predictive agriculture).
- Collaborative Ethics: Global tech giants should facilitate technology transfer rather than resorting to punitive, monopolistic gatekeeping.
- Transitional Inevitability: Initial energy spikes are temporary phases preceding hardware and algorithmic efficiency breakthroughs.
Measures to Balance AI and Environment:
- Green Computing: Deploy energy-efficient processors and advanced Liquid Cooling Technology in existing data centers.
- Renewable Transition: Aggressively secure 100% clean energy via long-term Power Purchase Agreements (PPAs) for solar/wind.
- Algorithmic Frugality: Shift R&D from parameter-heavy models to “TinyML” (smaller, energy-efficient AI models).
- Internal Carbon Pricing: Levy internal taxes on high-compute projects to fund localized carbon offsetting and afforestation.
Aligning technological disruption with the Triple Bottom Line (People, Planet, Profit) ensures that AI evolution serves as a catalyst for sustainable human empowerment rather than ecological collapse.
