GS Paper 3
Syllabus: Indian Economy, Unemployment
Source: IE
Context: As per LinkedIn’s first ever global ‘Future of Work: State of Work @ AI’ report, Indian professionals are rapidly acquiring AI skills in response to the growing prominence of Artificial Intelligence in the workplace, with the number of AI-skilled individuals increasing 14 times since 2016
Key Findings:
- India is among the top five countries in terms of AI talent growth, along with Singapore, Finland, Ireland, and Canada.
- AI Skills Index value highlights the significant increase in members with at least 2 AI skills on their profiles compared to January 2016.
- Recognition among 60% of workers and 71% of Gen Z professionals in India that acquiring AI skills could enhance their career prospects.
- 2 out of 3 Indians plan to learn at least one digital skill in 2023, with AI and Machine Learning being among the top skills of interest.
Positives and negatives of the impact of AI at the workplace:
| Positives of AI at the Workplace | Negatives of AI at the Workplace |
| Efficiency and Productivity | Fear of Job Displacement |
| Data Analysis and Insights: AI can analyze large datasets quickly and extract valuable insights for better decision-making. | Privacy Concerns: The use of AI may involve the collection and analysis of personal data, raising concerns about privacy and data security |
| Improved Customer Experience: AI-powered chatbots and virtual assistants enhance customer support by providing instant and accurate responses. | Bias and Fairness Issues: AI algorithms can inherit biases present in the data they are trained on, leading to discriminatory outcomes |
| Innovation and New Opportunities: AI drives innovation by enabling the development of new products, services, and business models. | Skill Gap and Training: There may be a gap in required skills as jobs evolve, necessitating continuous training and upskilling |
| Cost Savings and ROI: Implementing AI technologies can lead to cost savings and higher return on investment in the long run. | Ethical Dilemmas: AI applications raise ethical concerns regarding transparency, accountability, and the potential misuse of technology. |
To know about Generative AI
Insta Links
Mains Links
Ethics Case Study:
We’ll probably look back on 2022 as the year generative Artificial Intelligence (AI) exploded into public attention, as image-generating systems from OpenAI and Stability AI were released, prompting a flood of fantastical images on social media. Last week, researchers at Meta announced an AI system that can negotiate with humans and generate dialogue in a strategy game called Diplomacy. Venture capital investment in the field grew to $1.3 billion this year, according to Pitchbook, even as it contracted for other areas in tech.
The digital artist Beeple was shocked in August when several Twitter users generated their own versions of one of his paintings with AI-powered tools. Similar software can create music and videos. The broad term for all this is ‘generative AI’ and as we lurch to the digital future, familiar tech industry challenges like copyright and social harm are re-emerging.
Earlier this month, Meta unveiled Galactica, a language system specializing in science that could write research papers and Wikipedia articles. Within three days, Meta shut it down. Early testers found it was generating nonsense that sounded dangerously realistic, including instructions on how to make napalm in a bathtub and Wikipedia entries on the benefits of being Caucasian or how bears live in space. The eerie effect was facts mixed in so finely with hogwash that it was hard to tell the difference between the two. Political and health-related misinformation is hard enough to track when it’s written by humans.
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- What are the ethical issues in the above case?
- Can we have ‘ethical AI’?
- Suggest measures that must be taken to prevent moral damage that can from AI.
