GS Paper 4
Syllabus: Applications of Ethics
Source: HBL
Context: As AI, including generative AI like ChatGPT, becomes commercially widespread, concerns arise regarding its impact on the job market.
Studies suggest potential automation of 60-70% of employee tasks by current AI, with projections of 50% automation by 2045.
Ethical Aspects of AI’s Impact on Labour:
| Ethical Aspects | Implications on Labour |
| Job Displacement | Potential ethical concerns regarding the social and economic impact of job losses due to AI automation. |
| Wage Inequality | Ethical questions about fair compensation and addressing the widening gap in wages, particularly in easily automatable sectors. |
| Retraining Opportunities | Ethical imperative to provide accessible and effective retraining opportunities to facilitate workers’ transition to new roles. |
| Bias and Fairness | Ethical considerations to address biases in AI systems that may affect hiring and employment practices, ensuring fairness. |
| Transparency | Ethical concerns about the opacity of AI algorithms, emphasise the need for clear communication and understanding of decision-making processes. |
| Multidisciplinary Education | Ethical responsibility to provide education that encompasses technical skills along with societal, ethical, and humanistic aspects, preparing individuals for responsible AI use. |
| Governance and Regulation | Ethical imperative for establishing governance and regulations, such as the Harmonized Rules on AI, to ensure responsible and accountable AI deployment. |
The evolving nature of AI prompts the need for a multidisciplinary approach in education, balancing technological advancements with ethical considerations. EU’s Harmonized rules on AI (ACI Act 2023), aim to address socio-economic benefits and potential risks. In the face of technological change, Higher Educational Institutes (HEIs) play a crucial role in preparing a multi-skilled workforce for the future.
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