Our current society is enormously benefited by robots and artificial intelligence and will continue to be so, but along with the advantages of technology comes the unavoidable possibility of undesirable consequences brought on by highly developed artificial intelligence. Despite having a long history, many people still associate artificial intelligence with the far future. Nobody can genuinely assert that they know exactly where cutting-edge artificial intelligence will go in the future. The first step in being ready to plan for the negative effects of artificial intelligence is to consider what some of these potential negative implications would be in 2023.
1.A biassed result
Since people develop AI algorithms, anyone who inadvertently or actively introduces bias into the algorithm technology is liable to do so. If AI algorithms were built with a bias or if the data used as training sets for the algorithms was skewed, they will produce biassed results. This reality may have unintended consequences for robots and machines. like the ones we have seen with racist Microsoft’s Twitter chatbot and discriminatory employment algorithms. Businesses must properly plan and develop AI algorithms as they are developed.
2.Some Jobs Could Be Lost
There will be a lot of jobs created by artificial intelligence, and many people predict a net increase in jobs or at least anticipate the same amount will be created to replace the ones that are lost due to advanced artificial intelligence technology, but there will also be jobs that people currently do that machines will eventually take over. In order to properly prepare our future workforce and help current employees transition to new jobs that will utilise their unique human abilities, training and educational programmes will thus need to change.
3.We Won’t Comprehend Why AI Acts in a Particular Way
Many of the outcomes of AI technology are difficult to comprehend. Despite making the most accurate data forecasts, the most advanced artificial intelligence systems are also the least equipped to defend their choices. The “black box” of AI is sometimes used to describe this inability to see how a system makes decisions, which could be problematic for many organisations. People must comprehend the justification for judgments made in various contexts and industries.
This is especially true in industries where restrictions are stringent. You don’t want an algorithm to choose a patient’s diagnosis or course of treatment without telling you why it was made in the case of healthcare. Another scenario is to imagine that software robots and machines choose the best stocks using an algorithm, and that they perform brilliantly, possibly making a nine percent profit. If you are earning a sufficient or higher return on your financial investments, you might not give the reason any thought. After all, you are making money. But what if you lost 9% of your investment? Imagine having nothing at all. The explanations will probably pique your attention the most. It’s concerning that we frequently don’t know why it chooses what it does. This is problematic because it not only puts us further away from the system we are using, but it also limits our options in the event that something goes wrong.
4. Quick cyberattacks
With improved artificial intelligence, tasks can be accomplished more quickly, frequently outpacing our ability as humans to keep up. Due to how these systems see the world, robots and automation may make it more challenging for humans to identify bad actions like phishing, the injection of viruses into software, and the manipulation of AI systems for personal advantage.
5.How AI Causes Terrorism
AI-based terrorism can be a brand-new threat to deal with. From the production of robotic swarms and autonomous drones to the deployment of nano-robots for disease transmission or remote attacks.
It will take time and extensive human reasoning to decide how to best prepare for a future about advanced artificial intelligence technology and machines that will be developed with even more artificial intelligence applications in the upcoming year 2023, even though there is a chance for negative effects with its continued adoption, they are minimised to the greatest extent possible.
