Critically analyse the ethical concerns related with AI. Discuss merits and demerits of AI in governance.
Firstly, Dry farming is a type of agriculture practice where the crops are grown without using any type of irrigation methods. Simply it is a technique for the non-irrigated cultivation of crops. In a vast country like India approximately 60% of the total cropped area falls under dry farming. The maRead more
Firstly, Dry farming is a type of agriculture practice where the crops are grown without using any type of irrigation methods. Simply it is a technique for the non-irrigated cultivation of crops. In a vast country like India approximately 60% of the total cropped area falls under dry farming.
The main regions of dry farming in India include-
a) Eastern Ghats
b) Rajasthan
c) Deccan Plateau
d) Gujrat
e) Madhya Pradesh
f) Uttar Pradesh
Problems face in this type of cultivation are as follows-
i) The primary challenge is unpredictable and variability of rainfall which leads to frequent crop failures.
ii) Nutrient value of the soil in regions of dry-farming are low which further effects the crop productivity.
iii) Dry conditions can exacerbate pests and other diseases further leading in reduction of crop yield.
iv) Framers in these regions often face poverty and lack of access to marketing opportunities.
Strategies which can be followed for development include-
i) Enhancing soil fertility, by using methods like organic farming, crop rotation etc.
ii) Adopting climatic-resilient agricultural practices such as zero-tillage, mulching, etc.
iii) Investing in research to develop new crop varieties, and farming practices suitable for this type of farming.
iv) Developing market linkages and infrastructure to ensure that the farmers get fair prices for their produce.
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A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks. Few key principles of AI Ethics: Transparency. Make AI system transparent and understand to users and stakeholders. From hiring processes to driverless cars, AI is inteRead more
A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks.
Few key principles of AI Ethics:
Transparency. Make AI system transparent and understand to users and stakeholders. From hiring processes to driverless cars, AI is integral to human safety and wellbeing.
Impartiality. Another key principle for AI ethics is Ensure that,AI system do not discriminate aur exhibit basis based race , gender, ethnicity or other protected characteristics.
Accountability. Accountability is another important aspect of AI ethics.
Data governance and Privacy: Protect user privacy and secured data throughout the AI life cycle.
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