It seems like just a year ago, access to mass-market, commercially available, genuinely helpful AI tools seemed like a far-off wish. <\/p>\n\n\n\n
After all, enterprise software vendors have been extolling the virtues of \u201cadvanced machine learning\u201d and \u201cAI engine\u201d tools for years. Lots of promises had been made regarding AI adoption, yet the problems those solutions were ostensibly designed to address remain stubbornly present. <\/p>\n\n\n\n
HR executives know that recruiting and applicant tracking systems still deliver lackluster candidate experiences. <\/p>\n\n\n\n
Learning & Development pros know that even the most sophisticated \u201cNetflix-like\u201d recommendation algorithms are still missing the mark.<\/p>\n\n\n\n
Then ChatGPT hit the scene, and suddenly the AI revolution didn\u2019t seem that far off.<\/p>\n\n\n\n
OpenAI released ChatGPT at the end of November 2022, and in short order, we began seeing just how powerful it was. Developers began using it to write code. Ryan Reynolds used it to write a script for a Mint Mobile ad<\/a>. And in record time, it was everywhere. <\/p>\n\n\n\n Shortly thereafter, \u201cthe AI revolution\u201d media blitz began. Stories ran the usual click-bait gamut from dystopian to utopian, but no matter where you turned, one truth became inescapably clear: the AI era was upon us.<\/p>\n\n\n\n There\u2019s no doubt that generative AI is going to have a disruptive impact on the employment landscape, but whether AI adoption is positive or negative is largely up to those tasked with introducing AI into the flow of work. <\/p>\n\n\n\n Department heads and team leaders will certainly play a role in defining how AI will be integrated at a functional level, but Human Resources, Learning & Development, and Digital Transformation pros will be on point for the cultural assimilation… and that\u2019s arguably the most crucial point of impact. Here\u2019s why:<\/p>\n\n\n\n Change fatigue is real.<\/em><\/p>\n\n\n\n From sociopolitical upheaval to radical shifts in the way individuals define and experience work, the past several years have been marked by constant change for many, if not most, employees. New policies and procedures have been rolled out, and although many organizations were already on a digital transformation journey pre-pandemic, the rapid shift to remote work added rocket fuel to those plans. <\/p>\n\n\n\n Now we\u2019re asking workers to embrace yet another change, and it could be more daunting than ever. <\/p>\n\n\n\n Tech without context or personal connection is just another app. Even something as powerful and as game-changing as Generative AI can become just something else to learn. Yet another tool the boss is throwing at me to make me work better\/harder\/faster. <\/p>\n\n\n\n Therein lies the rub. <\/p>\n\n\n\n You can\u2019t put your head in the sand and pretend that AI isn\u2019t going to create tectonic shifts in the workplace, but you also can\u2019t treat technology with such far-reaching implications as \u201cjust another app.\u201d AI is fundamentally different. <\/p>\n\n\n\n It may seem counterintuitive, but in the rush to integrate AI<\/a> into every nook and cranny of our everyday lives, it\u2019s critically important to remember the people behind the tech. To that end, AI training can\u2019t be handled by an old school \u201cwatch a video, take a quiz, print a certificate\u201d LMS approach. To make it stick, you have to nail the fundamentals:<\/p>\n\n\n\n At the end of the day, AI just isn\u2019t about new tech and tools. It\u2019s about people. Whether your employees regard it as the monster under the bed waiting to steal their jobs or as a time-saving and performance-improving resource is largely how it is introduced and embraced\u2026 and that ultimately comes down to how they\u2019re trained.<\/p>\n\n\n\n <\/p>\n\n\n\r\n Since you\u2019re here\u2026 It seems like just a year ago, access to mass-market, commercially available, genuinely helpful AI tools seemed like a far-off wish. After all, enterprise software vendors have been extolling the virtues of \u201cadvanced machine learning\u201d and \u201cAI engine\u201d tools for years. Lots of promises had been made regarding AI adoption, yet the problems those solutions […]<\/p>\n","protected":false},"author":128,"featured_media":24319,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","_eb_data_table":"","footnotes":""},"categories":[1461],"tags":[],"marketing_tags":[],"class_list":{"0":"post-48634","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-business"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/48634"}],"collection":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/users\/128"}],"replies":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/comments?post=48634"}],"version-history":[{"count":4,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/48634\/revisions"}],"predecessor-version":[{"id":52496,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/48634\/revisions\/52496"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media\/24319"}],"wp:attachment":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media?parent=48634"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/categories?post=48634"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/tags?post=48634"},{"taxonomy":"marketing_tags","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/marketing_tags?post=48634"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Old school \u201cwatch this video, take this quiz, print this certificate\u201d video-based training (like you find in most traditional LMS platforms) may be great for compliance purposes or to gain a basic understanding of a topic, but they don\u2019t lead to skills mastery. By contrast, human-led instruction \u2013 complete with coaching and mentoring \u2013 keeps students engaged, and particularly with a topic like AI, is vital to ensuring employees know the \u201cwhy\u201d behind the \u201cwhat.\u201d (In other words, you\u2019ll have an opportunity to ensure they view AI in the right context and regard it as an ally, not a potential job-stealer.)
<\/li>\n\n\n\n
One of the fastest ways to ensure any AI implementation delivers sub-par performance is to have \u201clumpiness\u201d within a team. When one motivated team member acquires Jedi-like skills while the rest lag behind, you\u2019ll have poor execution and poor results. If you train as a team, however, you\u2019ll establish greater consistency across the organization, and \u2013 more importantly \u2013 the team will have a \u201clingua franca\u201d surrounding all things AI. This will also unlock the creativity of the team, together discovering new ways to implement AI and use it to extend their own capabilities.
<\/li>\n\n\n\n
<\/em>Nothing drives home the power and potential of AI in the workplace like getting practical, hands-on time with the tools and working on real-world projects. From simple prompt engineering to more complex process automation processes, when employees get a chance to roll up their sleeves and actively solve problems together, the lessons and the learning will stick. When you add mentors to the mix \u2013 individuals with \u201cbeen there, done that\u201d expertise \u2013 the return is amplified. <\/li>\n<\/ul>\n\n\n\n
<\/strong>Springboard for Business grows businesses by empowering leaders and their teams with the critical thinking, data, and technology skills central to the future of work. Companies like Amazon, Walmart, HP, JPMorgan Chase, and Visa have partnered with Springboard for Business to upskill and reskill employees around the world. Click here to learn more<\/a>.<\/p>\r\n","protected":false},"excerpt":{"rendered":"