{"id":11543,"date":"2022-01-27T15:43:17","date_gmt":"2022-01-27T23:43:17","guid":{"rendered":"https:\/\/threecloud.wpengine.com\/?p=11543"},"modified":"2023-09-19T15:41:50","modified_gmt":"2023-09-19T22:41:50","slug":"the-pros-and-perils-of-personification-of-ai","status":"publish","type":"post","link":"https:\/\/3cloudsolutions.com\/resources\/the-pros-and-perils-of-personification-of-ai\/","title":{"rendered":"The Pros and Perils of Personification of AI"},"content":{"rendered":"

\u201cAlexa, remind me to take out the trash.\u201d<\/em><\/p>\n

\u201cHey Siri, play some music.\u201d <\/em><\/p>\n

\u201cCortana, tell me what the weather\u2019s like.\u201d<\/em><\/p>\n

Man! I hope your friends respond politely to your slew of demands.<\/p>\n

Nowadays, these asks are unmistakably requests to a voice-enabled home assistant, capable of streamlining your routine with conversational AI capabilities. Over time, AI tools have evolved to fit almost seamlessly into our daily schedules as humanoid helpers, mirroring the way we talk and interact.<\/p>\n

As your organization embarks on new data science and AI <\/a>initiatives, you may find yourself drawing comparisons between the intelligence you are developing and that of a personified AI device you have encountered or hoping that one day your product will have a cool first name to show for itself, too.<\/p>\n

Modern AI Applications & Devices<\/h3>\n

Take a second to consider all the products you have come across with intelligent capabilities that attempt to approximate human-to-human interaction- your friendly voice-controlled speaker, your latest DMV online chat experience, or even a chipper paper clip making suggestions as you type up a document.<\/p>\n

Consider the benefits you have gleaned from these tools and how these benefits stem or stray from the AI\u2019s human-like qualities. Why does<\/em> an AI agent have to be humanoid to be helpful? Is more human always better, and how can this idea of AI personification impact perception and success of AI development in your business?<\/p>\n

\"Microsoft<\/p>\n

Microsoft Paperclip Office Assistant \u2013 Image via <\/span><\/em>Geekwire<\/span><\/em><\/a>, 2019<\/span><\/em><\/p>\n

Understanding Human Instinct<\/h3>\n

It is straightforward to understand why human qualities are intentionally strived for in intelligent technologies- in short; humans love humans! When we refer to a machine in the same way we refer to our friends and families (with a real name) and interact with it similarly, we frame it in an affectionate light and are naturally more likely to have a good first impression of the tool.<\/p>\n

People innately react more warmly to personified objects over lifeless machines or systems.<\/strong> This phenomenon is potentially fostered further through expectations of AI we might carry from past experiences- say, maybe watching a few too many sci-fi movies. It feels fitting and satisfying that AI has a name, voice, or even personality. The initial impression left by AI might be more positive if the tool engages using human characteristics, but how can these qualities impact the overall reception and adoption of AI<\/a> later down the line?<\/p>\n

Unrealistic Expectations<\/h3>\n

Let us consider expectations around AI to explore why the personification of an AI tool might be more harmful than helpful. When AI is presented as human, we expect human intelligence<\/strong>– well rounded, flexible, holistic intelligence- and this mindset can put a damper our experience with AI before it even begins.<\/p>\n

Framing AI in this way can predispose users and give the impression that the AI is falling short, regardless of intended performance, or can even motivate users to push the limits of the tool (i.e., attempting to order a pizza from an automated technical support line). Users have a better chance of successfully troubleshooting any issues or adapting the way they interact with AI when it\u2019s clear that conflict resolution won\u2019t fare. Adding \u201cplease\u201d when asking Alexa to turn on the lights I never connected, unfortunately, does not seem to accomplish much!<\/p>\n

In short, AI is likely best received when expectations are measured and based on true capabilities, not a futuristic fantasy.<\/p>\n

\"Artifical<\/p>\n

Image via <\/span><\/em>TechTarget<\/span><\/em><\/a>, 2020<\/span><\/em><\/p>\n

Misrepresentation of AI in an Organization<\/h3>\n

AI personification can also negatively influence perception of the tool not by falling short but by overstating or misrepresenting the goal of AI in your organization<\/a>. The idea of an AI agent perfectly mimicking a person, being equipped with intelligence akin to a human\u2019s, and carrying out complex work with no intervention isn\u2019t just a little creepy; it\u2019s unrealistic and can paint a false picture of AI intending to put people out of work, take over our lives, embark on world domination, etc.<\/p>\n

Outside of the movies, AI is a front of innovation capable of improving the way we do our jobs, providing real solutions to our problems, and enabling us to reap efficiencies impossible before. AI does not need to be human to fulfill human needs when the true goal is to empower, support, and serve people- not replace them<\/strong>.<\/p>\n

Finding Value in AI<\/h3>\n

All in all, don\u2019t sweat it if your AI tool can\u2019t sing and dance or pass the Turing test\u2013 the heart of AI is simply the use of data to make human lives easier and better, not robotic speech patterns or animatronic blinking. Take care to frame and market your data science and AI initiatives in a way that is honest and realistic, and let your findings and results speak for themselves. Nothing is truly more exciting, innovative, or transformational than beginning to put your data to work for you.<\/p>\n

Whether you\u2019re developing a complex machine learning solution or considering where to begin on the data science and AI front, we\u2019re always here to help. For additional information on our solution to build actionable machine learning insights, get started with 3Cloud<\/a> today.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

\u201cAlexa, remind me to take out the trash.\u201d \u201cHey Siri, play some music.\u201d \u201cCortana, tell…<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[395,260],"tags":[319],"class_list":["post-11543","post","type-post","status-publish","format-standard","hentry","category-data-science-ai","category-data-ai","tag-machine-learning-ai","topics-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/posts\/11543","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/comments?post=11543"}],"version-history":[{"count":0,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/posts\/11543\/revisions"}],"wp:attachment":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/media?parent=11543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/categories?post=11543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/tags?post=11543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}