{"id":113110,"date":"2026-02-11T11:29:32","date_gmt":"2026-02-11T10:29:32","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=ejournal&#038;p=113110"},"modified":"2026-02-12T14:11:52","modified_gmt":"2026-02-12T13:11:52","slug":"i4s-1-2026-applied-ai-ethics-workplace","status":"publish","type":"ejournal","link":"https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2026-applied-ai-ethics-workplace\/","title":{"rendered":"I4S 1\/2026: Applied AI Ethics in the Workplace"},"content":{"rendered":"<div style=\"text-align:center; margin-bottom:20px;\">\n   <a href=\"https:\/\/industry-science.com\/en\/gito-ejournal-index\/?token=8rbbuRXQ2yxdPs8XscOd\" target=\"_blank\" rel=\"noopener noreferrer\">      <button style=\"font-size:14px;\" class=\"button gito-pub-frontend-vertical-title\">Table of contents (PDF)      <\/button>   <\/a>\n<\/div>\n\n<p>The application of AI ethics in the workplace is everyone\u2019s responsibility. It requires responsibility on the part of companies as a whole and conscious action on the part of a large number of individuals\u2014whether developers or users, managers or employees. This issue of Industry 4.0 Science is dedicated to the interplay of individual responsibility and organizational leadership in a broader social and regulatory context. The topics range from competence development for the ethical use of AI to issues of governance and employee representation. The findings come from various fields, including radiology, speech therapy, assembly, and quality control.<\/p>\n\n\n\n<div style=\"height:29px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">All articles at a glance<\/h2>\n\n\n\n\n<!-- GITO_PUB_POST start list-container -->\n<div><ul class=\"gito-pub-frontend-post-list-container\">\n<li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/genai-governance-managerial\/\">Pre-Stages of GenAI Governance via Managerial Communication<\/a><br><span style=\"color:#444;\">Exploratory findings from SMEs in the Ruhr area<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/employee-human-centered-ai\/\">Human-Centered AI in Companies with Employee Representation<\/a><br><span style=\"color:#444;\">Using the HUMAINE model for a company-specific works agreement<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/guidelines-fair-use-generative-ai\/\">Guidelines for the Fair Use of Generative AI<\/a><br><span style=\"color:#444;\">Practical examples from production management and social welfare<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ethical-ai-value-based-labels\/\">Ethical AI in the Workplace Through Value-Based Labels?<\/a><br><span style=\"color:#444;\">Lessons learned from applying the VCIO framework to an AI-based assistant<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ethical-ai-business-models\/\">Ideating Ethical AI Business Models<\/a><br><span style=\"color:#444;\">A dual card approach for the ethical development of AI business models<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/tachaid-ethical-ai\/\">Operationalizing Ethical AI with tachAId<\/a><br><span style=\"color:#444;\">Validating an interactive advisory tool in two manufacturing use cases<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ai-assembly-workplace-design\/\">Applied AI for Human-Centric Assembly Workplace Design<\/a><br><span style=\"color:#444;\">An ethics-informed approach<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/xai-predicting-nudging-decision\/\">XAI for Predicting and Nudging Worker Decision-Making<\/a><br><span style=\"color:#444;\">Feasibility and perceived ethical issues<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/jocat-job-change-acceptance-toolbox\/\">JOCAT (Job Change Acceptance Toolbox)<\/a><br><span style=\"color:#444;\">A change management approach for implementing AI systems ethically and sustainably<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/co-determination-dialogues\/\">Co-Determination Dialogues<\/a><br><span style=\"color:#444;\">A tool for human-centered AI implementation<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ai-skills-responsible-use\/\">AI Skills for Responsible Use<\/a><br><span style=\"color:#444;\">Realistic learning environments, critical thinking, and role design in teams<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/digital-competence-lab-dcl-for-speech-therapy\/\">Digital Competence Lab (DCL) for Speech Therapy<\/a><br><span style=\"color:#444;\">Designing a learning platform to advance digital skills<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ai-industrial-quality-control\/\">AI Implementation in Industrial Quality Control<\/a><br><span style=\"color:#444;\">A design science approach bridging technical and human factors<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/data-quality-expertise-ai\/\">Data Quality and Domain Expertise for Resilient AI Deployment<\/a><br><span style=\"color:#444;\">Integrating anomaly and label error detection in industry<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ai-ethics-in-radiology\/\">Multi-Stakeholder AI Ethics in Radiology<\/a><br><span style=\"color:#444;\">Implications for integrated technology and workplace design<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/ai-work-system-human-centeredness\/\">Adapting AI Work Systems for Human-Centeredness<\/a><br><span style=\"color:#444;\"> A methodical approach for exploring the design space in transdisciplinary teams<\/span><\/li><li><a class=\"\" href=\"https:\/\/industry-science.com\/en\/articles\/documentation-nursing-care\/\">Improving Documentation Quality and Creating Time for Core Activities<\/a><br><span style=\"color:#444;\">Success factors for implementing AI-based documentation systems in nursing care<\/span><\/li><\/ul><\/div>\n<!-- GITO_PUB_POST end list-container -->\n\n\n\n\n<p><\/p>\n<div style=\"display:block;text-align:center !important;margin:30px 0;\"><div style=\"display:inline-block;border:1px solid #555;padding:10px;max-width:600px;text-align:left;\"><h2 class=\"gito-pub-download-section\"><center>Access limited<\/center><\/h2><p>You are currently <strong>not logged in \/ not yet registered<\/strong>.<\/p><p>In order to download the desired file(s), you must be logged in and have an appropriate inclusive subscription. Alternatively, you can also obtain access by paying a one-off fee.<\/p><br><br><div style=\"text-align:center;\"><table style=\"width:90% !important;margin-left:5% !important;\"><thead><tr><th>Subscription<\/th><th style=\"text-align:center !important;\">included<\/th><th style=\"text-align:right;\">Purchase<\/th><tr><\/thead><tbody><tr><td>without<\/td><td style=\"text-align:center !important;\">&#8722;<\/td><td style=\"text-align:right;\">59,00 \u20ac<\/td><tr><tr><td>Digital<\/td><td style=\"text-align:center !important;\">&#8722;<\/td><td style=\"text-align:right;\">56,05 \u20ac<\/td><tr><tr><td>Expert<\/td><td style=\"text-align:center !important;\">&#8722;<\/td><td style=\"text-align:right;\">53,10 \u20ac<\/td><tr><tr><td>Professional<\/td><td style=\"text-align:center !important;\"><span style=\"color:var(--company-color);font-weight:bold;font-size:16px;\">&#10003;<\/span><\/td><td style=\"text-align:right;\">0,00 \u20ac<\/td><tr><\/tbody><\/table><button style=\"font-size:14px;margin:10px;\" class=\"button gito-pub-login-register-link gito-pub-reporting-abo-button\" data-targetabo=\"professional\" data-targeturl=\"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/ejournal\/113110\/\" data-type=\"abo-button-login\">Register \/ book subscription<\/button><a href=\"https:\/\/industry-science.com\/en\/checkout\/?add-to-cart=113110&#038;quantity=1\" style=\"font-size:14px;margin:10px;\" class=\"button gito-pub-reporting-abo-button\" data-type=\"abo-button-onetime\">Download for one time 59,00 \u20ac<\/a><p><small>All prices include 7% VAT<\/small><\/p><p><small>After purchasing access rights, you will automatically be redirected back to this page.<\/small><\/p><\/div><\/div><\/div><div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/4ir\/\">4IR<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/ai-ethics\/\">AI ethics<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/ai-governance\/\">AI governance<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/co-determination\/\">co-determination<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/eu-ai-act\/\">EU AI Act<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/fair-use-of-digital-technologies\/\">fair use of digital technologies<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/human-centered-ai\/\">Human-centered AI<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/human-machine-interaction\/\">human-machine interaction<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/industrie-4-0-en\/\">Industrie 4.0<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/industry-4-0-en\/\">Industry 4.0<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/regulation\/\">regulation<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/responsibility\/\">responsibility<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/trustworthy-ai\/\">trustworthy AI<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/work-system\/\">work system<\/a><\/span> <br>Industries: <span class=\"gito-pub-tag-element\"><a href=\"https:\/\/industry-science.com\/en\/industries\/sme\/\">SME<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=I4S%201%2F2026%3A%20Applied%20AI%20Ethics%20in%20the%20Workplace - https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2026-applied-ai-ethics-workplace\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2026-applied-ai-ethics-workplace\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip facebook\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" rel=\"noopener nofollow\"><i class=\"icon-facebook\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/x.com\/share?url=https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2026-applied-ai-ethics-workplace\/\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip x\" title=\"Share on X\" aria-label=\"Share on X\" rel=\"noopener nofollow\"><i class=\"icon-x\" aria-hidden=\"true\"><\/i><\/a><a href=\"mailto:?subject=I4S%201%2F2026%3A%20Applied%20AI%20Ethics%20in%20the%20Workplace&body=Check%20this%20out%3A%20https%3A%2F%2Findustry-science.com%2Fen%2Fe-journals%2Fi4s-1-2026-applied-ai-ethics-workplace%2F\" class=\"icon button circle is-outline tooltip email\" title=\"Email to a Friend\" aria-label=\"Email to a Friend\" rel=\"nofollow\"><i class=\"icon-envelop\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.linkedin.com\/shareArticle?mini=true&url=https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2026-applied-ai-ethics-workplace\/&title=I4S%201%2F2026%3A%20Applied%20AI%20Ethics%20in%20the%20Workplace\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-3-2025-digital-twin\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/06\/I4S_03-2025_ENG_Cover-640x325.jpeg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/06\/I4S_03-2025_ENG_Cover-196x180.jpeg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/06\/I4S_03-2025_ENG_Cover-196x180.jpeg\" alt=\"I4S 3\/2025: Digital Twin\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"I4S 3\/2025: Digital Twin\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">I4S 3\/2025: Digital Twin<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Innovative concepts for manufacturing, logistics, and learning environments<\/div>                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n<div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"professional\" data-targeturl=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-3-2025-digital-twin\/\" title=\"please login or register - content can only be read in its entirety with a subscription  professional\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>\nIn the connected world, digital twins open up completely new possibilities: they virtually replicate physical systems, processes, or products. However, key challenges remain, including the collection of current product data. This issue of Industry 4.0 Science covers a wide range of topics, from the basic concept of the digital twin to its benefits in procurement and its use in supply chain management.                  <\/div>\n               <\/div>\n            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-2-2025-ai-cobots-virtual\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/04\/I4S_02-2025_ENG_Cover-640x325.jpeg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/04\/I4S_02-2025_ENG_Cover-196x180.jpeg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/04\/I4S_02-2025_ENG_Cover-196x180.jpeg\" alt=\"I4S 2\/2025: The Future of Production with AI, Cobots and Virtual Worlds\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"I4S 2\/2025: The Future of Production with AI, Cobots and Virtual Worlds\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">I4S 2\/2025: The Future of Production with AI, Cobots and Virtual Worlds<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Technology needs innovative, value-adding business models<\/div>                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n<div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"professional\" data-targeturl=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-2-2025-ai-cobots-virtual\/\" title=\"please login or register - content can only be read in its entirety with a subscription  professional\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>\nArtificial intelligence, collaborative robotics, and virtual worlds, such as the metaverse, are fueling visions for new forms of industrial value creation. However, innovation alone is not enough\u2014given that these technologies only develop their full potential through intelligent business models. How can companies efficiently integrate AI-supported automation, cobots and digital twins into their processes?                  <\/div>\n               <\/div>\n            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2025-40-years-of-digital-transformation-in-manufacturing\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/meinBild-2-1-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/meinBild-2-1-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/meinBild-2-1-196x180.jpg\" alt=\"I4S 1\/2025: 40 Years of Digital Transformation in Manufacturing\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"I4S 1\/2025: 40 Years of Digital Transformation in Manufacturing\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">I4S 1\/2025: 40 Years of Digital Transformation in Manufacturing<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Key research questions for tomorrow's production and logistics<\/div>                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n<div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"professional\" data-targeturl=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-1-2025-40-years-of-digital-transformation-in-manufacturing\/\" title=\"please login or register - content can only be read in its entirety with a subscription  professional\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>\nDigital transformation has been a central focus of scientific discussions for years. Questions relating to data-driven decisions, artificial intelligence and resilient supply chains are at the heart of current research. The articles in this issue explain key trends and present scientific findings and practical solutions - from automation and the circular economy to cloud computing.                  <\/div>\n               <\/div>\n            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-6-2024-machine-learning\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/12\/I4S_06-2024_Cover-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/12\/I4S_06-2024_Cover-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/12\/I4S_06-2024_Cover-196x180.png\" alt=\"I4S 6\/2024: Machine Learning\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"I4S 6\/2024: Machine Learning\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">I4S 6\/2024: Machine Learning<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A technology with optimization potential in terms of efficiency, transparency and sustainability<\/div>                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n<div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"professional\" data-targeturl=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-6-2024-machine-learning\/\" title=\"please login or register - content can only be read in its entirety with a subscription  professional\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>\nMachine learning takes automation to a new level. But what does this imply for the role of humans, who seem to remain\u00a0essential for the effective control of AI systems. The development of energy-efficient and fair algorithms and the optimization of data quality are crucial for the future viability of machine learning and artificial intelligence. The articles in this issue examine the technology's key potential and areas of application.                  <\/div>\n               <\/div>\n            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-5-2024-double-transformation\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/09\/I4S-52024-Cover-EN-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/09\/I4S-52024-Cover-EN-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/09\/I4S-52024-Cover-EN-196x180.png\" alt=\"I4S 5\/2024: Double Transformation\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"I4S 5\/2024: Double Transformation\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">I4S 5\/2024: Double Transformation<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Integrating digital and ecological change in the world of work<\/div>                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n<div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"professional\" data-targeturl=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-5-2024-double-transformation\/\" title=\"please login or register - content can only be read in its entirety with a subscription  professional\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>\nChange is necessary for companies to maintain their competitive edge\u2014both digital and ecological change. But while external support is at hand, the drive for change must come from companies themselves. In this issue of Industry 4.0 Science, experts of the Academic Society for Work and Industrial Organization discuss how the real-world application of innovative technologies lead to resource-efficient manufacturing.                  <\/div>\n               <\/div>\n            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Table of contents (PDF) The application of AI ethics in the workplace is everyone\u2019s responsibility. It requires responsibility on the part of companies as a whole and conscious action on the part of a large number of individuals\u2014whether developers or users, managers or employees. This issue of Industry 4.0 Science is dedicated to the interplay [&#8230;]\n","protected":false},"featured_media":113112,"template":"","categories":[79167,79168,79298],"tags":[79070,85402,84683,85540,85500,85558,80231,85556,79627,80127,84544,78186,85557,73921],"product_cat":[79492],"topic":[79491,79333,79489],"technology":[67790,79334],"knowhow":[],"industry":[68742],"writer":[80983,85282,82068,83783],"glossary":[],"class_list":{"0":"post-113110","1":"ejournal","2":"type-ejournal","3":"status-publish","4":"has-post-thumbnail","6":"category-design-en","7":"category-translate-en","8":"category-typeset","9":"tag-4ir","10":"tag-ai-ethics","11":"tag-ai-governance","12":"tag-co-determination","13":"tag-eu-ai-act","14":"tag-fair-use-of-digital-technologies","15":"tag-human-centered-ai","16":"tag-human-machine-interaction","17":"tag-industrie-4-0-en","18":"tag-industry-4-0-en","19":"tag-regulation","20":"tag-responsibility","21":"tag-trustworthy-ai","22":"tag-work-system","23":"product_cat-e-journals","24":"topic-change-management-en","25":"topic-process-optimization","26":"topic-quality","27":"technology-artificial-intelligence","28":"technology-business-model-en","29":"industry-sme","30":"writer-bernd-kuhlenkoetter-en","31":"writer-i4s-editorial-team","32":"writer-uta-wilkens-en","33":"writer-valentin-langholf-en","34":"product","35":"first","36":"instock","37":"downloadable","38":"virtual","39":"sold-individually","40":"taxable","41":"purchasable","42":"product-type-ejournal"},"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover.jpeg",764,376,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-150x150.jpeg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-762x375.jpeg",762,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover.jpeg",764,376,false],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover.jpeg",764,376,false],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-764x320.jpeg",764,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover.jpeg",764,376,false],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-392x320.jpeg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-608x376.jpeg",608,376,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-640x325.jpeg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-274x376.jpeg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-514x292.jpeg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-320x376.jpeg",320,376,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-514x253.jpeg",514,253,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-196x180.jpeg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover.jpeg",764,376,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover.jpeg",764,376,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-510x376.jpeg",510,376,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-510x251.jpeg",510,251,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-100x100.jpeg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/I4S_01-2026_ENG_Cover-64x31.jpeg",64,31,true]},"uagb_author_info":{"display_name":"Florian Goldmann","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Table of contents (PDF) The application of AI ethics in the workplace is everyone\u2019s responsibility. It requires responsibility on the part of companies as a whole and conscious action on the part of a large number of individuals\u2014whether developers or users, managers or employees. This issue of Industry 4.0 Science is dedicated to the interplay&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/ejournal\/113110","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/ejournal"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/ejournal"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/113112"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=113110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=113110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=113110"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=113110"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=113110"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=113110"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=113110"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=113110"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=113110"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=113110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}