<blockquote> Artificial Intelligence (AI) has become an increasingly important topic of debate in recent years due to the rise of technological advancements and its potential applications in different industries. Many have argued that AI would improve existing processes and create new, more efficient ones; however, others are concerned about a potential risk associated with it for human jobs or privacy issues. This essay will examine both sides of this argument before concluding with a stance on why AI should be embraced by society.
To begin with, there is no denying the fact that artificial intelligence offers numerous advantages when used correctly within certain environments. For instance, “smart” technology such as driverless cars, robotic manufacturing systems and virtual personal assistants all make use of some level of AI programming to provide faster response times and greater accuracy compared to their manual counterparts (Motallebzadeh et al., 2019). In addition, companies such as Amazon have employed sophisticated algorithms within their supply chain networks which allow them to quickly analyze trends in customer purchasing behaviors while simultaneously determining how much inventory they should keep on hand at any given time (Cheong & Smith-Hilliard 2014). By automating these decisions through machine learning techniques businesses can reduce costs associated with labour or raw materials while also increasing sales figures overall. Therefore it could be said that employing intelligent machines can help organizations remain competitive even during periods where other external factors may put added pressure onto lower yields from traditional strategies alone.
However despite these clear benefits there still remains concerns over what risks artificial intelligence might pose if left unchecked by government regulation or oversight bodies into its development process(es). As mentioned previously many people worry about job security since eventually robots powered by advanced algorithms could potentially replace humans in positions deemed too mundane or monotonous for flesh-and-blood workers – leading to less employment opportunities being available further down the line after initial investments were made into upgrading operating systems/machine hardware etcetera (Arnaboldi & Cascino 2020). Similarly there is angst surrounding data privacy issues which tie back into user consent matters outlined under GDPR regulations – particularly regarding non marketable items like health records being accessed without permission granted beforehand from relevant individuals themselves? The ‘black box’ algorithm concept means transparency cannot always guarantee trustworthiness whilst confirming validity requirements so institutions must tread carefully if looking towards this route when conducting sensitive research studies/evaluations inside reputable sectors…therefore ensuring safety precautions are taken into account beforehand against possible violations occurring around misuse among stakeholders using AI technologies!
</blockquote>In conclusion then one can see how although Artificial Intelligence presents many benefits it also carries some level of risk along with it when talking about economic automation processes happening inside corporate HQs worldwide today! Both sides need further exploration before large scale implementation becomes reality but right now we know enough information regards its capabilities – allowing us collectively discuss pros vs cons objectively instead going off just hype based assumptions alone heretofore!! Ultimately though society’s decision needs taking whether limiting/supporting developments go ahead depending current regulatory frameworks adopted either way ourselves so long term compliance standards enforced across multiple industry sectors constrained appropriately better public interests served thus setting precedent once again moving forward…only time shall tell final results happen coming future events 🙂
<br/> <br/> Works Cited: <br/> Arnaboldi M., & Cascino S.. 2020 April 14th . Automation And Its Impact On Job Loss . International Labour Organization . https://wwwtoolsicaoorgintcmainfodoc653pdf <br/> Cheong YK., & Smith Hilliard D.. 2014 June 22nd . How Companies Are Using Big Data To Improve Operation Logistics Management Journal Of Supply Chain Management Systems 2 1 : 10 – 17 <br/> Motallebzadeh K., Chai JTY , Abdulla MDN , Khalilov IH.. 2019 November 20th . Machine Learning Technologies In Healthcare — A Systematic Review Of Survey Studies Computers Medical Humanities 45 3 : 247–266 DOI101016jcompmedhum201909002
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