{"id":232350,"date":"2024-06-19T11:15:09","date_gmt":"2024-06-19T09:15:09","guid":{"rendered":"https:\/\/nextcloud.com\/?p=232350"},"modified":"2026-04-07T12:47:13","modified_gmt":"2026-04-07T10:47:13","slug":"ethical-use-of-ai-5-major-challenges","status":"publish","type":"post","link":"https:\/\/nextcloud.com\/es\/blog\/ethical-use-of-ai-5-major-challenges\/","title":{"rendered":"Ethical use of AI: 5 major challenges"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/nextcloud.com\/c\/uploads\/2024\/06\/ethical-use-of-ai-challenges-nextcloud.png\" alt=\"Ethical use of AI: the five challenges - Nextcloud\" class=\"wp-image-232351\" srcset=\"https:\/\/nextcloud.com\/c\/uploads\/2024\/06\/ethical-use-of-ai-challenges-nextcloud.png 1920w, https:\/\/nextcloud.com\/c\/uploads\/2024\/06\/ethical-use-of-ai-challenges-nextcloud-300x169.png 300w, https:\/\/nextcloud.com\/c\/uploads\/2024\/06\/ethical-use-of-ai-challenges-nextcloud-1024x576.png 1024w, https:\/\/nextcloud.com\/c\/uploads\/2024\/06\/ethical-use-of-ai-challenges-nextcloud-768x432.png 768w, https:\/\/nextcloud.com\/c\/uploads\/2024\/06\/ethical-use-of-ai-challenges-nextcloud-1536x864.png 1536w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><\/figure>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>AI has a lot of potential \u2014 to let us do things better and faster, but also to cause great harm to our privacy, creativity and perhaps even our mental well-being. We believe most of it is yet to be discovered, but today we need to figure out how to make it work for us, and not against us (or others).<\/p>\n\n\n\n<p>And this is why we need AI ethics. At <a href=\"https:\/\/nextcloud.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Nextcloud<\/a>, we care about privacy and transparency, and believe that Ethical use of AI tools in both commercial and personal settings is essential.<\/p>\n\n\n\n<p> In this article, we delve into five major challenges confronting organizations in their quest for ethical AI adoption: issues with major providers of AI tools, transparency concerns, regulatory compliance, data sovereignty challenges, and the dilemma of the single-vendor ecosystems. By exploring these challenges in a certain depth, we will try to derive knowledge and insights needed to navigate some ethical complexities of AI adoption to establish a safer and more sustainable approach to business.<\/p>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-center wide has-background\" style=\"background-color:#dbedf8;grid-template-columns:auto 28%\"><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">Ethical AI in Nextcloud<\/h3>\n\n\n\n<p><a href=\"https:\/\/nextcloud.com\/hub\/\" target=\"_blank\" rel=\"noreferrer noopener\">Nextcloud Hub<\/a> is an AI-powered collaboration platform that offers a freedom of choice when it comes to AI hosting, sourcing an appropriate model and choosing the right approach to AI integration.<\/p>\n\n\n\n<p>Nextcloud makes and ongoing effort to promote the ethical use of AI tools. To assist our users, we employ our Ethical AI Rating to help them choose the right match for their limitations and principles of their business.<\/p>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-fdcfc74e wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/nextcloud.com\/blog\/ai-in-nextcloud-what-why-and-how\/\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more<\/a><\/div>\n<\/div>\n<\/div><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" src=\"https:\/\/nextcloud.com\/c\/uploads\/2023\/03\/nextcloud-ethical-AI-logo-1.svg\" alt=\"Nextcloud Ethical AI\" class=\"wp-image-108526 size-full\"\/><\/figure><\/div>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Big tech and ethical use of AI<\/h2>\n\n\n\n<p>Biggest tech giants like Google and Facebook claim to scrutinize their development and use of AI, addressing issues such as bias, privacy, and accountability. Creation of special research boards, drafting\u00a0ethical guidelines, and participation in various forums and high-profile collaborations help secure a position as the opinion leader and ambassador of AI Ethics.<\/p>\n\n\n\n<p>Those initiatives also serve as a differentiator in a competitive market and help companies improve their public image, where consumer trust means everything. And unfortunately, Ethical AI adoption turns out to be a simple window dressing where profit motives prevail over the ethical pursuits, as we see big AI providers terminate their ethical teams amid growing AI product investments:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list nc-list\">\n<li>In early 2023, Microsoft <a href=\"https:\/\/www.theverge.com\/2023\/3\/13\/23638823\/microsoft-ethics-society-team-responsible-ai-layoffs\" target=\"_blank\" rel=\"noreferrer noopener\"><u>terminated<\/u><\/a> its entire AI Ethics and Society team as a part of a massive layoff, despite leading the market in the development of mass-access AI products and actively promoting ethical AI principles.<\/li>\n\n\n\n<li>In 2018, Google published its AI principles, committing to ethical AI development. However, in the following years, the company faces a backlash over a controversial Project Maven to develop military AI for the Pentagon,\u00a0fires its leading AI researcher Timnit Gebru, splits up its Responsible Innovation team, and ultimately faces internal dissent from the employees over the implementation of these principles.<\/li>\n\n\n\n<li>In 2023, Meta <a href=\"https:\/\/www.theverge.com\/2023\/11\/18\/23966980\/meta-disbanded-responsible-ai-team-artificial-intelligence\" target=\"_blank\" rel=\"noreferrer noopener\"><u>disbanded<\/u><\/a> its Responsible AI (RAI) team while investing even more resources into generative artificial intelligence products.<\/li>\n<\/ul>\n\n\n\n<p>Responsible innovation efforts and dedicated ethical teams seem like a veneer of ethical responsibility while the deeper, systemic issues inherent in AI deployment remain unchallenged.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Data collection and transparency issues<\/h2>\n\n\n\n<p>One of these challenges is with the transparency of AI training practices.<\/p>\n\n\n\n<p>Even though companies are legally required to inform users about how their data is processed, some AI providers like Meta start collecting vast amounts of data from user content, while the policy is&nbsp;very <a href=\"https:\/\/mashable.com\/article\/meta-using-posts-train-ai-opt-out\" target=\"_blank\" rel=\"noreferrer noopener\"><u>hard to opt out of<\/u><\/a>. And this is not the only example of how tech giants cut corners to harvest data for AI training when running out of supply.<\/p>\n\n\n\n<p>For example, in 2021, OpenAI reportedly transcribed\u00a0<a href=\"https:\/\/www.nytimes.com\/2024\/04\/06\/technology\/tech-giants-harvest-data-artificial-intelligence.html\" target=\"_blank\" rel=\"noreferrer noopener\"><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\">ove<\/span>r one mill<\/a>ion hours of YouTube videos to feed data to ChatGPT. While according to two members of the privacy team at Google, in 2022 the company wanted to expand the use of consumer data for AI training, including publicly available content in Google Docs, Google Sheets, and related apps.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ethical AI certification standards and regulations<\/h2>\n\n\n\n<p>Data privacy regulations play a crucial role in governing the use of AI technologies, ensuring that individuals&#8217; privacy rights are protected and that AI-powered applications are used responsibly. From the perspective of a company employing AI tools in its business, compliance with such regulations is essential.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data privacy regulations and the use of AI<\/h3>\n\n\n\n<p>In the European Union, such regulation is provided by the General Data Protection Regulation (GDPR) and the AI Act, an embodiment of the common regulatory framework for AI. In the US, the National Institute of Standards and Technology issued the Risk Management Framework (AI RMF), which is guidance to companies and other entities on using, designing, and deploying AI. However, this framework is voluntary and does not call for penalties for noncompliance.<\/p>\n\n\n\n<p>In some regions, legislation also controls the collection and processing of specific types of data that companies can collect unconsciously, for example, protected health information (PHI) and biometric data that may be collected through various AI-powered health apps. In the US, the Health Insurance Portability and Accountability Act (HIPAA) and the Illinois Biometric Information Privacy Act (BIPA) aim to regulate the collection of health data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Ethical AI certification standards<\/h3>\n\n\n\n<p>Ethical AI certification standards are designed to ensure that the development and deployment of AI technologies align with societal values, promote trust, and mitigate potential harms. While noncompliance does not lead to any legal penalties, companies still face certain risks, such as reputational damage and affected stakeholder relations. Examples include IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, EU Ethics Guidelines for Trustworthy AI, ISO\/IEC JTC 1\/SC 42, AECP, RAIL, and more.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How to minimize the risks of noncompliance<\/h3>\n\n\n\n<p>Regulations vary by region and industry, and the first essential step is to research data protection laws relevant to your business. Noncompliance, even if unintentional, may lead to serious consequences, including both fines and reputational damage. While those regulations enforce various policies, there are common principles to bear in mind that can help minimize risks:<\/p>\n\n\n\n<ul class=\"wp-block-list nc-list\">\n<li>Obtain explicit consent before collecting data, informing users of what data is collected and how it is used, and shared. Make sure to provide straightforward ways to opt out.<\/li>\n\n\n\n<li>Make your data processing and storage protocols accessible to ensure compliance and ease potential user concerns.<\/li>\n\n\n\n<li>Use models that provide transparent information about the training data and algorithms used for collecting and processing.<\/li>\n\n\n\n<li>Store user data and run your AI locally to avoid conflicts with your local regulations. If local hosting is not possible, vet third-party providers for their compliance with data protection regulations. Continuously monitor their practices to ensure ongoing compliance.<\/li>\n\n\n\n<li>Train employees on data protection regulations and company policies. Promote a culture of privacy and security awareness within the organization.<\/li>\n\n\n\n<li>Regularly update and patch your systems to mitigate vulnerabilities.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile wide has-background\" style=\"background-color:#dbedf8;grid-template-columns:auto 26%\"><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">Nextcloud compliance kit<\/h3>\n\n\n\n<p>We provide our customers with direct consultation services and multiple resources to support their compliance efforts. This includes a high-level 12-step checklist offering an overview of key compliance requirements and a detailed administrator manual providing concrete, hands-on guidance for implementing compliance measures effectively. <\/p>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/nextcloud.com\/compliance\/\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more<\/a><\/div>\n<\/div>\n<\/div><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" src=\"https:\/\/nextcloud.com\/c\/uploads\/2022\/09\/nc-icon-compliance.svg\" alt=\"Nextcloud compliance\" class=\"wp-image-55392 size-full\"\/><\/figure><\/div>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Data locality and data sovereignty<\/h2>\n\n\n\n<p>The algorithms and data usage policies used by public AI services lack transparency, which makes it difficult for organizations to ensure ethical AI practices. Besides, when employees use publicly available cloud-based AI tools for work, it may cause compliance issues and privacy risks related to data location:<\/p>\n\n\n\n<ul class=\"wp-block-list nc-list\">\n<li>Using third-party AI services may raise compliance issues with data protection regulations (e.g., GDPR, CCPA) and industry-specific standards (e.g., HIPAA, PCI DSS).<\/li>\n\n\n\n<li>Public AI services may store data in jurisdictions that do not comply with the company&#8217;s data sovereignty requirements, leading to legal and regulatory risks. It can work the other way round as well: for example, the US CLOUD Act allows US law enforcement to compel US-based technology companies to disclose electronic communications, regardless of where the data is stored.<\/li>\n<\/ul>\n\n\n\n<p>Hosting AI tools and their data locally is crucial for ensuring robust data privacy and compliance. While cloud-based solutions offer flexibility and scalability, local hosting provides the control and assurance necessary for handling sensitive or regulated data effectively.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI vendor lock-in and strategic risks to digital autonomy<\/h2>\n\n\n\n<p>AI services provided by the big tech vendors are often highly integrated with their products, providing smoother operations and better overall performance on the user side. However, the risks of being locked in the mono-provider ecosystem include little flexibility as to what tools to employ and major dependence on the vendor\u2019s decision-making and product management. That also creates strategic risks, not only for the companies but society as a whole.<\/p>\n\n\n\n<p>After the Danish privacy regulator <a href=\"https:\/\/www.theverge.com\/2024\/2\/7\/24065332\/denmark-google-student-data-collection-privacy\" target=\"_blank\" rel=\"noreferrer noopener\">ruled against sharing students&#8217; data with Google<\/a>, the company reportedly promised to change the way they process data to continue supplying Google products to Denmark&#8217;s schools. That means that the schools can avoid short-term disruptions and also save funds as companies like Google and Microsoft make their products accessible to educational organizations.<\/p>\n\n\n\n<p>However, in the long term, by providing kids with their proprietary technology, companies get a strong grip over their future choices, with kids habituated to using the products and sharing their data since childhood.<\/p>\n\n\n\n<p>Similarly, it is important to act strategically when adopting AI in daily life \u2014 a negative change can happen gradually and go unnoticed until it&#8217;s too late. While today students&#8217; data isn&#8217;t used to train the foreign big tech AI en masse, tomorrow it might be, given the steady growth of AI popularity. As a kid, you will leave school and keep using Google, because it has already trained a personal AI for you, and any other product will be hard to adopt.<\/p>\n\n\n\n<p>Vendor independence should be a part of the long-term strategy. European organizations are better off using European AI that is part of a sovereign ecosystem, hosted in Europe, and trained on local data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Regain control of your data with Nextcloud Hub<\/h2>\n\n\n\n<p><a href=\"https:\/\/nextcloud.com\/hub\/\" target=\"_blank\" rel=\"noreferrer noopener\">Nextcloud Hub<\/a> is the most popular self-hosted collaboration platform that integrates file sharing, document collaboration, groupware, and videoconferencing tools in a single modular interface. It is secure and private by design, and gives you ultimate control over your data and ensures maximum compliance.<\/p>\n\n\n\n<p>Realizing the big potential AI has for our daily life and work, we powered Nextcloud Hub with AI features that give you performance, but also let you care about your privacy. It features the <a href=\"https:\/\/nextcloud.com\/blog\/first-open-source-ai-assistant\/\" target=\"_blank\" rel=\"noreferrer noopener\">Nextcloud Assistant<\/a>, an AI-powered interface that enhances your entire platform with versatile automation features, augmented communication, and content creation instruments. You build your AI stack the way you want it, with multiple apps, models, and deployment formats available.<\/p>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Introducing Nextcloud Hub 8: Nextcloud AI Assistant 2.0, Context Chat, and Teams \ud83c\udf89\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/fl2BQu2dWZY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><figcaption class=\"wp-element-caption\">Overview of the new features in the latest version of Nextcloud Hub<\/figcaption><\/figure>\n\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<section class=\"promo-section   full-width \" id=\"\" style=\"\" data-expiration=\"\">\n\t<div class=\"container\">\n\t\t<div class=\"row\">\n\t\t\t<div class=\"col-12\">\n\t\t\t\t<div class=\"text-block\">\n\t\t\t\t\t<h2>Try Nextcloud Hub<\/h2><p>Discover Nextcloud Hub, privacy-first open-source solution<br \/>\nfor business collaboration that puts you in a driver&#8217;s seat.<\/p>\n<a class=\"c-btn btn-white\" href=\"https:\/\/nextcloud.com\/instant-trial\/\" target=\"_blank\">Try now<\/a>\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Discover the challenges of the ethical use of AI and find out how to employ AI tools without risking your privacy,\u00a0 compliance, and sustainability.<\/p>\n","protected":false},"author":33,"featured_media":232351,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"publish_to_discourse":"","publish_post_category":"22","wpdc_auto_publish_overridden":"1","wpdc_topic_tags":"","wpdc_pin_topic":"","wpdc_pin_until":"","discourse_post_id":"","discourse_permalink":"","wpdc_publishing_response":"success","wpdc_publishing_error":"","footnotes":""},"categories":[342,11],"tags":[],"class_list":["post-232350","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ethical use of AI: five major challenges Nextcloud<\/title>\n<meta name=\"description\" content=\"What are the challenges of the ethical use of AI and how to 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