We are living in a pivotal era: that of theAI era<\/strong>. But this revolution is accompanied by a new phenomenon: the BYOAI<\/strong> (Bring Your Own AI<\/em>), i.e. thebring your own AI<\/strong> in the office. According to Microsoft, 78 % of employees who use AI at work do so with their own tools<\/strong>without using the solutions provided by their companies.<\/p>\n\n\n\n And that's not all: Ipsos and Republik RH reveal that nearly 60 % of employees use ChatGPT on the sly<\/strong>without telling their superiors. This dual movement - mass adoption and clandestine use - reveals a paradox: everyone wants to use AI<\/strong>but few organizations have a framework for its use.<\/p>\n\n\n\n Visit BYOAI<\/strong> is not just a buzzword. It's a daily reality. This movement called Bring Your Own AI<\/strong> means that employees use AI tools<\/strong> like ChatGPT to solve their work problems, even when their company doesn't provide them with one.<\/p>\n\n\n\n Why? Because the generative AI tools offer productivity gains<\/strong> immediate :<\/p>\n\n\n\n Employees no longer want to wait for their IT department to roll out an official solution. They are moving forward, and often staff will take matters into their own hands<\/strong>.<\/p>\n\n\n\n In less than two yearsusing AI<\/strong> exploded:<\/p>\n\n\n\n This dazzling adoption is due to the power of the generative<\/strong> AI doesn't just analyze, it actually creates<\/strong> text, images or codes.<\/p>\n\n\n\n Whereas 79 % executives<\/strong> recognize that their company must adopt AI<\/strong> to stay competitive, 60 % admit they lack a clear vision<\/strong>. In other words: employees move faster than managers.<\/p>\n\n\n\n The figures speak for themselves:<\/p>\n\n\n\n In a context of email overload, meetings and increasing pressure, AI appears to be the only breath of fresh air.<\/p>\n\n\n\n Visit students want to use<\/strong> AI in their academic careers. In an Ipsos study, 70 % of 18-24 year olds<\/strong> believe that AI will be an integral part of their future job. So it's only logical that, when they join the company, they should continue to use AI.use AI<\/strong>.<\/p>\n\n\n\n An Ipsos survey speaks of real \"phantom uses<\/strong> AI: nearly 6 out of 10 employees<\/strong> use them on the sly. Republik RH confirms: one-third of employees<\/strong> has already used ChatGPT<\/strong> to carry out a professional assignment without reporting it.<\/p>\n\n\n\n An SME marketing executive tells Ipsos :<\/p>\n\n\n\n \"I use ChatGPT to write my creative briefs. I don't tell my manager because I don't know if it's allowed. But without it, I'd lose two hours a day.\"<\/p>\n<\/blockquote>\n\n\n\n This clandestine use reveals a reality: if your company starts using AI without a clear framework<\/strong>then things in hand<\/strong> directly to employees.<\/p>\n\n\n\n Enthusiasm for AI must not obscure the fact that big problems<\/strong>.<\/p>\n\n\n\n When an employee inserts a contract or a customer file in ChatGPT, there is no guarantee that it will be read. data protection<\/strong>. The information provided<\/strong> can be stored or reused.<\/p>\n\n\n\n This practice circumvents the rules. Visit unknowing organizations<\/strong> of their IT departments see sensitive data circulating. What's more, if everyone uses their AI tools of their choice<\/strong>the costs can escalate<\/strong> (multiple licenses, dispersed training, lack of standardization).<\/p>\n\n\n\n Any experienced ChatGPT user knows that<\/strong> The answers generated may be inaccurate. Undetected errors can damage the credibility of a report or strategic document.<\/p>\n\n\n\n Visit women or prejudice<\/strong> can be reinforced by poorly trained models. Without policies and processes<\/strong> AI can amplify biases rather than correct them.<\/p>\n\n\n\n A training plan<\/strong> is essential. Train and inform<\/strong> teams to understand where AI can bring<\/strong> value and as well as risks<\/strong>. Each trained employee becomes a IA ambassador<\/strong>.<\/p>\n\n\n\n Visit processes are essential<\/strong>. A policy ofEthical AI<\/strong> must specify what is acceptable: for example, never enter sensitive data<\/strong> in an external tool.<\/p>\n\n\n\n Although generative AI tools offer significant gains<\/strong>companies need to offer validated, secure and supervised solutions, rather than leaving it up to the customer. users bring their own tools<\/strong>.<\/p>\n\n\n\n A approach would be for managers to<\/strong> not to prohibit, but to support. Managers to be banned<\/strong> would create frustration. On the contrary, providing official tools, adapted to the most urgent needs<\/strong>The \"I'm an enthusiast\" approach helps to keep enthusiasm in check.<\/p>\n\n\n\n Visit AI mean that emerging technologies<\/strong> are not a gadget. They mean that emerging technologies can<\/strong> profoundly transform work.<\/p>\n\n\n\n For example:<\/p>\n\n\n\n Clearly: we need to target most urgent needs<\/strong>here where AI can<\/strong> concretely transform the productivity<\/strong>.<\/p>\n\n\n\n BYOAI is not a threat to be banished, but an energy to be channeled. As Zdnet writes, \"how people communicate and the data sources they use\".<\/strong> is crucial. Business leaders should remain open<\/strong>while maintaining a strict framework.<\/p>\n\n\n\n MIT suggests that business leaders<\/strong> must offer a clear vision: provide internal tools, define a clear AI design<\/strong>to establish a social dialogue. Because as AIs communicate<\/strong>, risks related to<\/strong> grow.<\/p>\n\n\n\n The phenomenon BYOAI<\/strong> illustrates a powerful paradox: never has theartificial intelligence<\/strong> has never been so desired by employees, and never have companies seemed so late to regulate its use. Visit employees are already using AI<\/strong>sometimes on the sly, sometimes with enthusiasm, but always with conviction: this generative technology<\/strong> changes the way they work.<\/p>\n\n\n\n The question is no longer \"should we adopt AI?\"<\/em> but \"how to adopt it responsibly and effectively?\"<\/em>. Car bring your own AI<\/strong> can generate productivity gains<\/strong> but also related risks<\/strong> to the privacy<\/strong>to the DATA SECURITY<\/strong> and quality of deliverables.<\/p>\n\n\n\n The right response is not to prohibit, but to support. Giving teams validated tools<\/strong>a training plan<\/strong>a culture ofEthical AI<\/strong> and clear rules. Because sooner or later, employees take matters into their own hands<\/strong> if management is slow to set a course.<\/p>\n\n\n\n Our conviction is simple: employees will not be replaced by AI<\/strong>. On the contrary, they will be strengthened and increased<\/strong>. Those who risk their jobs are those who will stay on the sidelines, refusing to learn how to use AI<\/strong>.<\/p>\n\n\n\n That's why it's essential to train, inform and coach employees<\/strong> today. AI is not a threat: it's an opportunity. But only a company that chooses to invest in its people, in their autonomy and their mastery of AI tools<\/strong>will be able to transform this fracture<\/strong> into a real competitive advantage.<\/p>\n\n\n\n The future of work won't be against AI, but with it. And the sooner we learn to integrate it intelligently, the more we stand to gain.<\/strong><\/p>","protected":false},"excerpt":{"rendered":" Apportez votre propre IA (BYOAI) : 78 % des employ\u00e9s utilisent leurs propres outils d\u2019IA au travail Introduction : l\u2019\u00e8re des IA, entre enthousiasme et clandestinit\u00e9 Nous vivons une \u00e9poque charni\u00e8re : celle de l\u2019\u00e8re des IA.En quelques mois, l\u2019IA g\u00e9n\u00e9rative est entr\u00e9e dans nos vies, avec des outils comme ChatGPT, Copilot ou Gemini. Ils […]<\/p>\n","protected":false},"author":2,"featured_media":3220,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_surecart_dashboard_logo_width":"180px","_surecart_dashboard_show_logo":true,"_surecart_dashboard_navigation_orders":true,"_surecart_dashboard_navigation_invoices":true,"_surecart_dashboard_navigation_subscriptions":true,"_surecart_dashboard_navigation_downloads":true,"_surecart_dashboard_navigation_billing":true,"_surecart_dashboard_navigation_account":true,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3216","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acpt":null,"_links":{"self":[{"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/posts\/3216","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/comments?post=3216"}],"version-history":[{"count":0,"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/posts\/3216\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/media\/3220"}],"wp:attachment":[{"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/media?parent=3216"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/categories?post=3216"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ventureo.fr\/en\/wp-json\/wp\/v2\/tags?post=3216"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
In just a few monthsGenerative AI<\/strong> has entered our lives, with tools such as ChatGPT<\/strong>Copilot or Gemini. They write emails, summarize meetings, create visuals and translate code. In short: they save precious time.<\/p>\n\n\n\n
\n\n\n\nUnderstanding BYOAI: a generative revolution in the office<\/h2>\n\n\n\n
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\n\n\n\nWhy has it come to this?<\/h2>\n\n\n\n
1. The explosion of generative AI<\/h3>\n\n\n\n
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2. The slowness of organizations<\/h3>\n\n\n\n
3. The quest for productivity<\/h3>\n\n\n\n
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4. Culture for the next generation<\/h3>\n\n\n\n
\n\n\n\nUse case: clandestine use of ChatGPT<\/h2>\n\n\n\n
Phantom uses<\/h3>\n\n\n\n
Why on the sly?<\/h3>\n\n\n\n
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A concrete example<\/h3>\n\n\n\n
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\n\n\n\nThe risks of BYOAI<\/h2>\n\n\n\n
Data confidentiality and security<\/h3>\n\n\n\n
Shadow IT and hidden costs<\/h3>\n\n\n\n
Reliability and reputation<\/h3>\n\n\n\n
Governance and bias<\/h3>\n\n\n\n
\n\n\n\nHow can we mitigate the risks and provide a framework for BYOAI?<\/h2>\n\n\n\n
Training and informing employees<\/h3>\n\n\n\n
Setting clear rules<\/h3>\n\n\n\n
Providing official tools<\/h3>\n\n\n\n
Channelling employee energy<\/h3>\n\n\n\n
\n\n\n\nWhere can generative AI bring the most value?<\/h2>\n\n\n\n
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\n\n\n\nBring your own AI: what if your organization harnessed this energy?<\/h2>\n\n\n\n
Conclusion: from BYOAI to responsible adoption of generative AI<\/h2>\n\n\n\n