Description

Book Synopsis
In ten years, we will take working with artificial intelligence (AI) more for granted than using cell phones today. 78 recognized experts from practice and research provide deep insights and outlooks regarding the influence of AI on everyday working life in 2030, explaining with practical tips how you can prepare for this development.
The 41 concise articles cover a broad spectrum in the area examined in each case. Thanks to a standardized structure, they include a summary of the status quo, concrete examples, future expectations, an overview of challenges and possible solutions, and practical tips.
The volume begins with societal and ethical issues before discussing legal considerations for employers and HR professionals, as well as the administration of justice. The other chapters examine the impact of AI on the world of work in 2030 in the sectors of business, industry, mobility and logistics, medicine and pharmaceuticals, and (further) education.

Table of Contents

The specter of German Angst: Are we too skeptical for AI development?.- Practice Guide AI = Collaborative and Interdisciplinary.- Future Collaboration between Humans and Artificial Intelligence.- Innovation and Startups.Artificial Intelligence Demands Corporate Digital Responsibility.- AI Ethics and Neuroethics Advance Relational AI Discourse.- Digital Product Monitoring Obligations for Smart Products.- The Use of AI-Based Speech Analysis in the Job Application Process.- Individual Legal Issues in the Use of AI.AI in the Enterprise: Is the employer liable or the AI as an e-person?.- The works council's right of co-determination under Section 87 (1) No. 6 BetrVG in the use of AI systems in the company.- Data protection law assessment of predictive policing in the employment relationship.- Legal requirements for AI decisions in administration and the judiciary.- Intelligent IT systems in the company.- Successful implementation of AI in the enterprise.- Responsible and robust AI in enterprises.- AI as a driver of hybrid forms of employment.- The future of financial planning in enterprises.- Potentials of AI for production.- The grassroots movement of artificial intelligence.- Employment effects emanating from AI and the changes in work organization.- : Opportunities of AI for work design in the manufacturing industry.- The role of humans in the context of sovereign data spaces.AI in the skilled trades.- Potentials in the field of mobility through mathematical methods of artificial intelligence.- How AI enables business models and gives rise to job profiles.- Industrial AI - Smart Factories and Team Robotic .AI in the automotive industry.AI in the rail sector.AI as an opportunity for the future airline business.AI in intralogistics.Through AI, medicine becomes more efficient, individualized and preventive.- : AI in the clinical treatment pathway.- To make medicine that no human has ever seen before.AI in the healthcare market.- Data-based innovations in the healthcare sector and strategic preparation of renowned global IT companies.- : AI add-on qualification.Educational Technology and AI.- Artificial Intelligence in Continuing Education of the Future.AI in Vocational Rehabilitation - Intelligent Assistance for People with Disabilities.

Work and AI 2030: Challenges and Strategies for

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    A Paperback / softback by Inka Knappertsbusch, Kai Gondlach

    15 in stock

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      View other formats and editions of Work and AI 2030: Challenges and Strategies for by Inka Knappertsbusch

      Publisher: Springer
      Publication Date: 18/05/2023
      ISBN13: 9783658402310, 978-3658402310
      ISBN10: 3658402318

      Description

      Book Synopsis
      In ten years, we will take working with artificial intelligence (AI) more for granted than using cell phones today. 78 recognized experts from practice and research provide deep insights and outlooks regarding the influence of AI on everyday working life in 2030, explaining with practical tips how you can prepare for this development.
      The 41 concise articles cover a broad spectrum in the area examined in each case. Thanks to a standardized structure, they include a summary of the status quo, concrete examples, future expectations, an overview of challenges and possible solutions, and practical tips.
      The volume begins with societal and ethical issues before discussing legal considerations for employers and HR professionals, as well as the administration of justice. The other chapters examine the impact of AI on the world of work in 2030 in the sectors of business, industry, mobility and logistics, medicine and pharmaceuticals, and (further) education.

      Table of Contents

      The specter of German Angst: Are we too skeptical for AI development?.- Practice Guide AI = Collaborative and Interdisciplinary.- Future Collaboration between Humans and Artificial Intelligence.- Innovation and Startups.Artificial Intelligence Demands Corporate Digital Responsibility.- AI Ethics and Neuroethics Advance Relational AI Discourse.- Digital Product Monitoring Obligations for Smart Products.- The Use of AI-Based Speech Analysis in the Job Application Process.- Individual Legal Issues in the Use of AI.AI in the Enterprise: Is the employer liable or the AI as an e-person?.- The works council's right of co-determination under Section 87 (1) No. 6 BetrVG in the use of AI systems in the company.- Data protection law assessment of predictive policing in the employment relationship.- Legal requirements for AI decisions in administration and the judiciary.- Intelligent IT systems in the company.- Successful implementation of AI in the enterprise.- Responsible and robust AI in enterprises.- AI as a driver of hybrid forms of employment.- The future of financial planning in enterprises.- Potentials of AI for production.- The grassroots movement of artificial intelligence.- Employment effects emanating from AI and the changes in work organization.- : Opportunities of AI for work design in the manufacturing industry.- The role of humans in the context of sovereign data spaces.AI in the skilled trades.- Potentials in the field of mobility through mathematical methods of artificial intelligence.- How AI enables business models and gives rise to job profiles.- Industrial AI - Smart Factories and Team Robotic .AI in the automotive industry.AI in the rail sector.AI as an opportunity for the future airline business.AI in intralogistics.Through AI, medicine becomes more efficient, individualized and preventive.- : AI in the clinical treatment pathway.- To make medicine that no human has ever seen before.AI in the healthcare market.- Data-based innovations in the healthcare sector and strategic preparation of renowned global IT companies.- : AI add-on qualification.Educational Technology and AI.- Artificial Intelligence in Continuing Education of the Future.AI in Vocational Rehabilitation - Intelligent Assistance for People with Disabilities.

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