Ai Data Science Machine Learning : Is There Room For Human Beings To Coexist in an Artificially Intelligent Machine Learning World? How Automation Forwards Human-AI Coexistence
Introduction
Ai Data Science Machine Learning : Is There Room For Human Beings To Coexist in an Artificially Intelligent Machine Learning World? How Automation Forwards Human-AI Coexistence. The evolution of advancing technologies has been increasingly able to fully or partially automate job tasks. And more recent innovations in Artificial Intelligence (AI), such as Machine Learning (ML). Have rekindled fears of more human displacement and job loss. Unlike previous waves of technological change, innovations in AI are affecting most, if not all, industries. Thus, the past must serve as a guide to prepare for future job insecurities. Especially by skill retraining, investment in education, and potential renewal of rural communities.
Impact of Automation on Employment
There have been a series of reports indicating an increased level of automation with subsequent job loss in various industries. Oxford Martin school reported a 47% figure as the degree of entire occupations subject to AI elimination. Whereas OECD reported a considerably lower figure of 9%. When taking into account specific tasks within jobs that would become automated. A pair of reports from McKinsey in 2016 and 2017 added that up to 60% of all professions will be affected by automation and the potential for automation is different by country, from South Africa at 41% to Japan at 56%.,
Automation, however, is not a zero-sum game for the labor market. Because AI-related technology will result in job gains either elsewhere in the economy or at different aspects in various industries. Both the International Federation of Robotics and the Economic Policy Institute have reported promising job opportunities. Given the development in automation and how it would increase productivity and competitiveness in the workplace and therefore a positive impact on wages.,
Technological Advancement vs. Human’s Cognitive Ability
Despite the complicated impact of automation on employment, one specific field in which a hiring spree is occurring is AI research. Tech-companies, especially large ones, such as Google, Apple, and Microsoft, are paying more and more for expertise in AI-related areas. Furthermore, these companies offer massive additional benefits to researchers: access to huge amounts of customer and user data to train algorithms, enormous computing resources, and the opportunity to work with elite researchers.
As a result, the implication of educational investment here is obvious: while technological skills will experience substantial growth, finely tuned social and emotional skills will also rapidly grow. Such cognitive abilities, which machines nowadays are a long way from mastering, will accompany the adoption of advanced technologies into the workplace. This is also consistent with Deloitte’s report on how automation is most effective when it does not replace humans but complement them. Therefore, as automation and other AI technologies establish their significance in the workplace, creativity, critical thinking, problem-solving and such cognitive abilities become equally important. The introduction of new technologies indeed will change the skills workers need to acquire but will not replace humans where finely tuned cognitive abilities are necessary.
Human-AI Coexistence in the Healthcare Industry
One successful application of AI is in the healthcare industry. When AI was first incorporated with healthcare, it immediately augmented physicians’ performance in decision making, decreasing error rates, and preventing unnecessary invasive treatment. One systematic review of thirty studies on the performance of ML predicting neurosurgical outcomes even concluded that AI and ML had demonstrated excellent performance and better accuracy compared to conventional prognostic indices and clinical experts.
However, it is too biased to claim that AI will completely replace physicians based on its better analytical performance than humans. Surgery is a good example to display the healthy coexistence between humans and AI. Automated data analysis by AI can lead to better preoperative risk evaluation. Which can result in more individual-targeted, patient specific plans before surgeries. Surgeons will employ data analysis intra-operatively, and with real-time monitoring, they can provide necessary information to predict potential complications and prevent adverse events. This cooperation typifies a human-centered cyber world. Therefore, while AI continues to develop. Surgeons still play the main role in the adoption of AI-based technology for surgical care. This coexistence between human and AI will undoubtedly lead to improvement of global surgical care.
Artificial Intelligence & Machine Learning – Rebellion Research
Limitation and Conclusion
To the extent the adoption of AI will despise humanity, it is beyond the scope of this article. AI and other technologies neither by themselves will destroy, revolutionize, or perfect an economy. Nor necessitate a more or less humanistic workplace, but only offer the potential to.
In conclusion, the rapid technology revolution and the underlying technological development mark the advent of a new era. One that tends to put the traditional model of workplace and education into perspective. Most jobs that are predicted to be high growth. Will require more education either in higher-level technological skills or finely tuned cognitive abilities. Similar to the healthcare example. AI-related jobs could see an increased share in the economy, which would create more stable and well-paying positions. In the future, people may need to access educational opportunities more during their lifetime. In response to evolving career obligations and changing socioeconomic requirements.
