Discuss the ethical challenges and regulatory frameworks necessary for the responsible deployment of artificial intelligence in public sector governance. Illustrate your answer with examples from both developed and developing countries.
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Ethical issues arising from the application of artificial intelligence in the governance of the public sector are AI systems can yield unfair results if the bases used during their development contain bias as seen in cases such as law enforcement or social services. Transparency is another issue which is a problem because AI systems often make decisions without providing a clear and easily understandable explanation behind them.
They are crucial to attend to these issues. In the developed countries, the European Union has set definite guidelines by its regulation of General Data Protection. This regulation guarantees citizens the right to know how their data is being processed and also the right to object against automated decision-making.
On the other hand, countries in the developing world such as India are creating their approaches to AI ethics to ensure that it does not widen gaps in the society. However, here is the challenge that needs to be addressed, i.e., sometimes the government sets too many rules that can hinder innovation and growth of new technologies.
Both contexts show that it is high time to strengthen the legal framework to implement AI-based solutions responsibly and take advantage of this technology for everyone.
Ethical issues arising from the application of artificial intelligence in the governance of the public sector are AI systems can yield unfair results if the bases used during their development contain bias as seen in cases such as law enforcement or social services. Transparency is another issue which is a problem because AI systems often make decisions without providing a clear and easily understandable explanation behind them.
They are crucial to attend to these issues. In the developed countries, the European Union has set definite guidelines by its regulation of General Data Protection. This regulation guarantees citizens the right to know how their data is being processed and also the right to object against automated decision-making.
On the other hand, countries in the developing world such as India are creating their approaches to AI ethics to ensure that it does not widen gaps in the society. However, here is the challenge that needs to be addressed, i.e., sometimes the government sets too many rules that can hinder innovation and growth of new technologies.
Both contexts show that it is high time to strengthen the legal framework to implement AI-based solutions responsibly and take advantage of this technology for everyone.
Ethical issues arising from the application of artificial intelligence in the governance of the public sector are AI systems can yield unfair results if the bases used during their development contain bias as seen in cases such as law enforcement or social services. Transparency is another issue which is a problem because AI systems often make decisions without providing a clear and easily understandable explanation behind them.
They are crucial to attend to these issues. In the developed countries, the European Union has set definite guidelines by its regulation of General Data Protection. This regulation guarantees citizens the right to know how their data is being processed and also the right to object against automated decision-making.
On the other hand, countries in the developing world such as India are creating their approaches to AI ethics to ensure that it does not widen gaps in the society. However, here is the challenge that needs to be addressed, i.e., sometimes the government sets too many rules that can hinder innovation and growth of new technologies.
Both contexts show that it is high time to strengthen the legal framework to implement AI-based solutions responsibly and take advantage of this technology for everyone.