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All the major Artificial Intelligence providers need to set up guiding rules and principles related to trust and transparency in AI implementation.Some more striking examples include Amazon AI-based algorithm for same-day delivery which was inadvertently biased against black neighbourhood, another example was Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) where the Artificial Intelligence algorithm while profiling suspects was biased against the black community.įollowing are few of the measures that can be taken to bridge trust-related issues in Artificial Intelligence Example- in High-Frequency trading even the Program developers don’t have a good understanding of the basis on which AI executed the trade. There are several applications where AI operates as a black box. With AI slowly reaching human-level cognitive abilities the trust issue becomes all the more significant. Complete transparency in the system where such technologies have experimented is essential to ensure its safe usageĪs Artificial Intelligence algorithms become more powerful by the day, it also brings several trust-related issues on its ability to make decisions that are fair and for the betterment of humankind.Global Co-operation on issues concerning such kind of weapons is needed so as to ensure no one gets involved in the rat race.We need to have strong regulations especially when it comes to creation or experimentation of Autonomous weapons.The following are the measures that can be taken to mitigate these concerns. If such weapons are deployed, it will be very difficult to undo its repercussions. There are also imminent concerns with AI forming “Mind of their Own” and doesn’t value human life. The case in point is autonomous weapons which can be programmed to kill other humans. There are grave concerns about Artificial Intelligence doing something harmful to humankind. There have been various instances where Artificial Intelligence has gone wrong when Twitter Chabot started spewing abusive and Pro-Nazi sentiments and in other instance when Facebook AI bots started interacting with each other in a language no one else would understand, ultimately leading to the project being shut down. When experts like Elon Musk, Stephen Hawking, Bill Gates among various others express concern related to AI safety we should pay heed to its safety issues. There has always been much furor about safety issues associated with Artificial Intelligence. Improving the condition of the labor market by bridging the demand-supply gap and giving impetus to the gig economy.
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As per the AI expert and Venture Capitalist Kai-Fu Lee, 40% of the world jobs will be replaced by AI-based bots in the next 10-15 years. As per another Mckinsey report, AI-bases robots could replace 30% of the current global workforce. Some of the figures are even more daunting. As per the World Economic Forum, Artificial Intelligence automation will replace more than 75 million jobs by 2022. As per an Oxford Study, more than 47% of American jobs will be under threat due to automation by the mid-2030s. Job loss concerns related to Artificial Intelligence has been a subject of numerous business cases and academic studies. Hadoop, Data Science, Statistics & others