{"id":775,"date":"2018-07-04T02:21:21","date_gmt":"2018-07-03T23:21:21","guid":{"rendered":"http:\/\/kusuaks7\/?p=380"},"modified":"2025-09-24T11:06:56","modified_gmt":"2025-09-24T11:06:56","slug":"ai-software-development-dispelling-the-most-common-myths","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/ai-software-development-dispelling-the-most-common-myths\/","title":{"rendered":"AI Software Development: Dispelling the Most Common Myths"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tReady to learn Artificial Intelligence? Browse courses<\/a>\u00a0like\u00a0 Uncertain Knowledge and Reasoning in Artificial Intelligence<\/a> developed by industry thought leaders and Experfy in Harvard Innovation Lab.<\/em><\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tAs technology moves forward, conversations on\u00a0AI software development<\/b>\u00a0and its global impact are becoming more and more common these days.\u00a0They range from the extremely optimistic views on the possibilities it has to offer to the fears of losing jobs and privacy.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nAI has the potential to improve medical diagnoses, weather prediction, supply-chain management, transportation, and even personal choices.\u00a0However,\u00a0movies such as \u201cI, Robot,\u201d \u201cEx Machina\u201d and \u201cTerminator\u201d show that Artificial intelligence is believed to be quite dangerous.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tWe\u2019ve decided to dispel the most common illusions and myths about\u00a0AI software development<\/a>\u00a0and shed some light on the possibilities of this disruptive technology.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Myth #1: AI solutions will replace human labour<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tNowadays AI is transforming business processes by helping organizations to automate not only their basic tasks but also the most complex operations. Experts argue that AI-based software is likely to destroy jobs faster than the economy can keep up. It has the power to create an unemployed underclass that will be dominated by an elite class of \u201cmachine owners.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Statistics<\/a>\u00a0<\/i><\/b>show that within the next two decades around 47% of all employment opportunities will be occupied by machines<\/i><\/b>.<\/i><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tTechnologists Carl Benedikt Frey and Michael A. Osborne carried out the\u00a0research<\/a>\u00a0where they expressed predictions on the kinds of jobs that technology is likely to replace within the next decades. For instance, middle-skill\u00a0jobs\u00a0of\u00a0tax accountants, telemarketers, and freight agents are deemed to be replaced by robots in the next few years. Whereas creative workers such as scientists, healthcare professionals, leaders, entrepreneurs, writers, and artists are to be the most secure.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tOn the whole, humans are the most productive at professions that require them to regularly interact with other humans, while machines supersede them at such things as following patterns and executing routine work. Nevertheless, a huge number of professions are impossible without human involvement.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThe capabilities of AI to completely replace human potential are vastly overestimated.\u00a0<\/b>Even the most powerful AI software is written by humans, smart AI systems are based on algorithms designed by humans, and datasets are curated and customized by people as well. Furthermore, it is particularly hard to automate a large number of jobs with AI, since almost all AI systems\u00a0have a narrow focus and are designed to do only one thing perfectly.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tAccording to the economist\u00a0Daniel Lacalle<\/a>, if AI technology really destroyed jobs, there would be no work today for anyone. Over the past 30 years, the technological revolution has been unparalleled and exponential,\u00a0but there are even more jobs and better salaries on the global scale. For instance, the German region of Baviera is one of the developed areas with the high degree of technology adoption and robotization but it has only a 2.6% unemployment rate. And the same tendency can be observed in many other parts of the world.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tSo, AI software development will potentially transform some of the current jobs, but it will also help create entirely new roles and opportunities. In the future, humans and machines are likely to be working side by side, allowing us to focus more on creative problem solving and rely on AI technology for research and process functions.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Myth #2: AI software development requires heavy investments<\/h2>\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tSince AI is a complex technology, it does require deep expertise in programming languages and sophisticated algorithms. Most types of AI applications require heavy lifting by data scientists and big data engineers, machine learning\u00a0specialists and computational linguists.\u00a0These skills are a must for\u00a0large-scale projects where artificially intelligent software is developed to make autonomous decisions, self-improve and react accordingly. These systems are usually built by global technology giants like Google which have huge investment funds and access to numerous data sources.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nNevertheless, a growing number of AI-based software tools are becoming increasingly available for business leaders. Many organizations create smart business applications developed on top of tools that Google, Apple, Amazon, and other\u00a0tech\u00a0corporations create.\u00a0Amazon\u2019s Alexa has already solved a complex problem of speaker-independent voice recognition, and its noise canceling technology allows using voice commands in noisy places.\u00a0In a business setting, Alexa is widely\u00a0used for\u00a0a\u00a0wide\u00a0range of tasks on command,\u00a0e.g. to start a meeting, control the equipment in\u00a0a conference room or notify an IT\u00a0 department of an equipment issue. Whereas\u00a0AI platforms such as IBM\u00a0Watson can\u00a0help you easily integrate AI into your application to\u00a0store, train and manage your data in the secure cloud.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tGenerally speaking, a number of simple AI tasks can be tackled by developers without profound knowledge of data science. Using various tools and mathematical methods, they can implement basic AI-based components into your solution.\u00a0So, if you want to use existing AI tools to address specific components of\u00a0an application and configure them to your specific business needs, you will require less\u00a0machine learning expertise and more knowledge of core business processes. This, in turn, will help you save costs on building huge interdisciplinary teams of data experts. However, for large-scale projects and more complex business requirements, deep expertise in data analysis, aggregation, and processing is a must.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tTo find out more about the latest AI solutions and top AI development vendors,\u00a0read our\u00a0latest article<\/a>.<\/em>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Myth #3: Artificial intelligence software will surpass human intelligence<\/h2>\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\u201cBy far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.\u201d\u2015 Eliezer Yudkowsky<\/blockquote>\nMany tech experts argue that machines will become super-intelligent and in some time will outpace human intellectual potential. Bill Gates and Stephen Hawking have also expressed concerns about \u201ckiller robots\u201d while Elon Musk believes AI remains a fundamental threat to the existence of human civilization.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tOn the whole, AI applications can be split into two categories \u2013 specialized and generalized. Specialized AI solutions are focused on performing one job in one field really well. They represent the majority of AI solutions on the market, and they are not likely to take over our world. On the other hand, Google, Facebook, Amazon and other tech giants possess massive amounts of data and engineering capacities to develop a truly intelligent machine. And we can only hope that they will use it wisely.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tOpinions on AI and its disruptive power differ greatly. In some aspects, AI systems already outpace humans, for example, in speed of calculations and memory recall capacity. Whereas in other aspects, like creative ability, emotional intelligence, and strategic thinking, they are still far behind and are not likely to be close anytime soon.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Myth #4: AI solutions will destroy our privacy<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tMany people believe that Artificial intelligence software poses a real threat to our privacy. Indeed, intelligent software solutions\u00a0already take a lot of decisions for us. They tell us what we want to watch, wear, buy, who we want to communicate with.\u00a0What\u2019s more,\u00a0we willingly give access to all\u00a0our information. We can\u2019t even use an app unless\u00a0it gets access to all our content, photos, contacts, location, etc.\u00a0Since\u00a0modern AI systems are able to collect and analyze more information than traditional data processing systems, the threat to privacy is greater than in non-AI systems.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThis highly controversial topic has a lot of ethical and technological implications, so it is impossible to cover it in one article. However, one thing is clear: AI software development has to be regulated to prevent any violations and GDPR has been a great step in this direction.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tAlso, the European data protection authorities have recently adopted guidelines on Automated Decision-making including the so-called artificial general intelligence. These guidelines are likely to greatly impact AI-based business models and privacy regulations.\u00a0Additionally, a number of approaches and tools such as anonymization, PIAs, and privacy by design can help organizations ensure their AI systems comply with data protection legislation and minimize the threat to privacy.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tOn the other hand,\u00a0by sacrificing\u00a0some of our privacy, we may solve a lot of acute problems. The data collected with the help of AI and machine learning can be\u00a0used for detecting cybersecurity threats, fighting crimes, and curing diseases.\u00a0For instance, Barclays Africa uses AI to look for indicators of compromise across the company\u2019s network, both on-premise and in cloud. While a US-based startup Deep Science utilizes AI\u00a0to help retail stores detect armed robberies in real-time by identifying guns or masked assailants. So,\u00a0with the right execution and regulations,\u00a0AI can help humans fight crimes, security threats, and much more.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Afterword<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tOn the whole, the views on\u00a0AI software development<\/strong>\u00a0are polarized and controversial. Still, many experts see AI as an opportunity rather than a threat. AI technology may act as a method of augmenting human workforce and enabling us to work in newer and smarter environments rather than disrupting every single aspect of our lives. But like with any powerful technology, we need to\u00a0use it prudently.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

The views on AI software development are polarized and controversial. Still, many experts see AI as an opportunity rather than a threat. AI technology may act as a method of augmenting human workforce and enabling us to work in newer and smarter environments rather than disrupting every single aspect of our lives. But like with any powerful technology, we need to use it prudently. Here are the most common illusions and myths about AI software development and shed some light on the possibilities of this disruptive technology.<\/p>\n","protected":false},"author":302,"featured_media":4128,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97],"ppma_author":[1927],"class_list":["post-775","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence"],"authors":[{"term_id":1927,"user_id":302,"is_guest":0,"slug":"yustyna-velykholova","display_name":"Yustyna Velykholova","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g","user_url":"","last_name":"Velykholova","first_name":"Yustyna","job_title":"","description":"Yustyna Velykholova is a Content Marketing Manager at N-iX. She is a gifted content manager with deep knowledge of the IT industry, digital marketing, SEO, and excellent research skills. She has written insightful and powerful content on various IT topics, including Data Science, Blockchain, Embedded development, IoT, Virtual Reality, to name a few. "}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/775","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/302"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=775"}],"version-history":[{"count":4,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/775\/revisions"}],"predecessor-version":[{"id":38134,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/775\/revisions\/38134"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/4128"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=775"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=775"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=775"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}