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 Challenges on AI revolution


Artificial intelligence (AI) has many advantages, but it also poses a number of challenges to the entire globe. Among the most important difficulties we face are those pertaining to transparency, interpretability, fairness, accountability, and trustworthiness. Furthermore, AI poses serious concerns about the security and privacy of data. Other significant obstacles to the AI revolution are the lack of modern, capable infrastructure and the growing complexity of current AI models. An other obstacle in the AI revolution may be figuring out who owns intellectual property. We must overcome these obstacles if we are to stop the negative effects of the AI revolution. In order to successfully overcome those problems, we can practise implementing the following strategies.

The use of artificial intelligence (AI) is skyrocketing as businesses, governments, and charities adopt the technology. Some of the applications are relatively trivial – AI is used to provide recommendations to Amazon customers for things to buy,  or to generate content for charity websites, for example.But AI can also be used  in more serious ways – helping doctors to diagnose diseases or helping charities with fundraising initiatives.More sinisterly, AI can also be used by governments to keep tabs on citizens using facial recognition, or to predict which individuals are likely to commit a crime before they have done so.Since AI is also not going to go away – once invented, a technology cannot be “uninvented” – many bodies including the EU and the UN consider some form or regulation is essential.

There are a variety of reasons why regulation may be desirable including, 

                        *  Ethical considerations

                        *  Accountability and liability

                        *  Transparency and explainability

                        * Safety and risk mitigation

                        * Data quality

                        * Privacy

                       * Integration challenges

                       *  Implementation strategies

                       * Economic inequality



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