{"id":2297,"date":"2022-01-17T10:00:00","date_gmt":"2022-01-17T15:00:00","guid":{"rendered":"https:\/\/www.pwvconsultants.com\/blog\/?p=2297"},"modified":"2022-01-10T14:06:00","modified_gmt":"2022-01-10T19:06:00","slug":"use-of-artificial-intelligence-comes-with-risks","status":"publish","type":"post","link":"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/","title":{"rendered":"Use of Artificial Intelligence Comes With Risks"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-as-more-businesses-lean-toward-using-ai-it-is-important-to-know-the-risks-that-come-with-it\">As more businesses lean toward using AI, it is important to know the risks that come with it.<\/h2>\n\n\n\n<p>Artificial intelligence is a fast-rising technology that many businesses plan to take advantage of in 2022, but as with all new technology, there are inherent risks to using AI. It is well-known that there is bias in AI, which is not the fault of the technology, but the training data used to make it function. Training data is often pulled from the internet, public data from all areas of the globe. Because humans are biased, the coded algorithm will, in turn, become biased. It wasn\u2019t biased to start, but it ended up that way because it was inadvertently taught to \u201csee\u201d things differently. Now, a recent study has shown that AI can determine a person\u2019s race from a radiology image with better accuracy than the humans that created it.<\/p>\n\n\n\n<p>An international team of doctors <a href=\"https:\/\/arxiv.org\/ftp\/arxiv\/papers\/2107\/2107.10356.pdf\">took a deeper look<\/a> into the reported disparate findings AI returns on medical imaging. There is no known correlation for race that a human can see on radiology images, so the team set out to figure out why AI can predict race where humans cannot. They hypothesized that if the model could identify a patient\u2019s race, then it would suggest the model had learned to recognize information it was not directly trained to recognize.<\/p>\n\n\n\n<p>\u201cTo investigate the cause of previously established performance disparities by patient race, we studied several hypotheses. We performed three main groups of experiments: A) performance quantification of the deep learning models to detect race from medical images, including the ability of these models to generalize to external environments and across multiple imaging modalities, B) assessment of possible confounding anatomic and phenotype population features, such as disease distribution and body habitus as predictors of race, and C) investigation into the underlying mechanism by which AI models can recognise race.\u201d<\/p>\n\n\n\n<p>Through their investigation, they found similar results as previous studies: that ML algorithms can predict, with high accuracy, whether a patient is Asian, Black or White. They then tested how this could be possible by utilizing different forms of imaging (X-Ray, CT, mammogram, etc.) and postulated that AI could read differences in bone density. However, even when the images were cropped and pixelated to the point a human may not be able to tell what it is, the algorithm was still highly successful.<\/p>\n\n\n\n<p>With the FDA approving new algorithms in healthcare on a regular basis, the researchers became concerned that this would exacerbate the racial disparity already seen in the healthcare system. The bigger concern, though, is that their findings were unable to determine how the algorithm was correctly able to predict the race of a person when it had not been trained to do so, and when a human could not do so without further information.<\/p>\n\n\n\n<p>This is the risk of artificial intelligence in any field, it\u2019s unpredictable. We already know that bias exists in AI because humans are biased and the information used to train it was created by us. But think about the implications beyond this one. What risk are you taking with AI when you use it for your business? Is it learning information it wasn\u2019t trained to learn? What is it doing with that information and how is it impacting your business analysis?&nbsp;<\/p>\n\n\n\n<p>Then there\u2019s the million dollar question: How do you know your artificial intelligence is even learning things it wasn\u2019t trained to learn? Your business may not be healthcare, but every business has an HR department. Every business has employees and customers. What if your AI algorithm suddenly started attaching race to those people, even though it wasn\u2019t told to perform that task? What if AI learned other sensitive information about your staff and clients that it isn\u2019t supposed to learn? Remember, the FTC has already said that the <a href=\"https:\/\/www.pwvconsultants.com\/blog\/computers-are-hard-bias-in-ai-could-bring-ftc-action\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI used by a business is the businesses responsibility<\/a>, not the writer of the algorithm.<\/p>\n\n\n\n<p>Let\u2019s just be honest with ourselves, if we can\u2019t determine how something we created is doing something we did not tell it to do, then how can we fix it? That\u2019s a problem for research teams around the globe, but in the meantime, make sure you are incredibly careful with any AI your business uses. It\u2019s not just about racial bias, this instance is just an example. But if we can\u2019t determine how that AI is getting race correct without us telling it to, then how can we determine that the AI used in any business isn\u2019t doing the same? It doesn\u2019t matter what the algorithm is doing, if it\u2019s doing something it wasn\u2019t told to do, it creates a risk.<\/p>\n\n\n\n<p>In 2022, many businesses will adopt artificial intelligence in some form. Don\u2019t be the business that goes under because of it! Hire an expert, bring in a 3rd party who knows AI inside and out and can tell you how useful an algorithm might be for your company. Make sure it\u2019s the right decision for your business and that the algorithm you are looking for not only exists, but actually does what it\u2019s supposed to do. You can have all of the trust and faith in your own employees to do their due diligence on AI, but if that\u2019s not their main job function, it\u2019s always smart to consult someone outside your firm.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Businesses are turning to artificial intelligence for a number of things, but it&#8217;s important to recognize the risks in doing so.<\/p>\n","protected":false},"author":1,"featured_media":2312,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[1965,1969,1966,2231],"tags":[1967,1886,2166,36,1828,1888,1005,571],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v22.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Use of Artificial Intelligence Comes With Risks - PWV Consultants<\/title>\n<meta name=\"description\" content=\"Businesses are turning to artificial intelligence for a number of things, but it&#039;s important to recognize the risks in doing so.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Use of Artificial Intelligence Comes With Risks\" \/>\n<meta property=\"og:description\" content=\"Businesses are turning to artificial intelligence for a number of things, but it&#039;s important to recognize the risks in doing so.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/\" \/>\n<meta property=\"og:site_name\" content=\"PWV Consultants\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PWV-Consultants-110444033947964\" \/>\n<meta property=\"article:published_time\" content=\"2022-01-17T15:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-01-10T19:06:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.pwvconsultants.com\/blog\/wp-content\/uploads\/2022\/01\/Use-of-AI-Comes-With-Risks-scaled.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1440\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Pieter VanIperen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@PWV_Consultants\" \/>\n<meta name=\"twitter:site\" content=\"@PWV_Consultants\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Pieter VanIperen\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/\"},\"author\":{\"name\":\"Pieter VanIperen\",\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/#\/schema\/person\/c15d5d40126a8ad906cb3067de95f8d4\"},\"headline\":\"Use of Artificial Intelligence Comes With Risks\",\"datePublished\":\"2022-01-17T15:00:00+00:00\",\"dateModified\":\"2022-01-10T19:06:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/\"},\"wordCount\":918,\"publisher\":{\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.pwvconsultants.com\/blog\/wp-content\/uploads\/2022\/01\/Use-of-AI-Comes-With-Risks-scaled.jpeg\",\"keywords\":[\"algorithms\",\"Artificial Intelligence\",\"Bias\",\"Business\",\"healthcare\",\"Machine Learning\",\"risk\",\"technology\"],\"articleSection\":[\"Artificial Intelligence\",\"Business\",\"Machine Learning\",\"Technology\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/\",\"url\":\"https:\/\/www.pwvconsultants.com\/blog\/use-of-artificial-intelligence-comes-with-risks\/\",\"name\":\"Use of Artificial Intelligence Comes With Risks - 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