Table Of Contents Artificial Intelligence and Robotics are Changing Society's Future.  The AI applications and associated emerging technologies in health, manufacturing, services, and agriculture are of interest, likewise, the regulation there in is also an area of concern.  The use of AI/robotics in each of these areas has been identified as a major source of productivity gains.  A sectorial approach to AI and robotics, on the other hand, has limits.  It seems that a more thorough understanding of the linkages between the applications, as well as an emphasis on public policies that promote general justice, inclusiveness, and equity improvement via AI/robotics, is required.  The increasing importance of robots in industry and its implications for employment are to be be watched. Investigating the effects of AI/robotics on poverty and marginalization, as well as their connections to public health is important. The potential of AI/robotics for sustainable agricultur

Table Of Contents An Overview On the one hand, the area of AI has produced a diverse range of theoretical methods and frameworks, and on the other, more remarkable practical applications.  Artificial intelligence (AI) has the potential to improve science and society in every field.  It has the potential to assist us in overcoming some of our cognitive limits and solving difficult issues.  Combinations of AI/robotics and brain–computer interfaces in health care , for example, are already providing unique assistance to patients with sensory or motor impairments and facilitating caretaking of patients with disabilities.  AI may bring about significant changes in education and ease access to information by offering new instruments for knowledge acquisition .  There may also be synergies resulting from robot-to-robot contact, as well as synergies resulting from people and robots working together on tasks.  While massive quantities of data pose a barrier to human cognitive

Given the pervasiveness of digitalization in many elements of society, it would be too restrictive to confine discussions of the role of law and regulatory choices to certain elements, such as the direct handling of AI. AI is just one of the numerous aspects of using intelligent IT systems.  Its importance varies depending on the kind of processing and its influence on actions. As a result, each sector of the legal system has unique issues that need not only broad norms but, in many cases, region-specific solutions.  The legal approach of AI must overcome the widely held belief that AI is largely used for spying.  The same can be said for data protection law, which has long been concerned with the regulation of digital transactions. It has made the treatment of personal data and, in particular, the preservation of privacy, a top priority.  To be sure, data privacy is still important when it comes to AI, especially when it comes to processing personal information.  Other types of data,

Artificial intelligence (AI), an interdisciplinary technology that aims to use large data sets (Big Data), appropriate computing power, and specific analytical and decision-making procedures to enable computers to accomplish tasks that approximate human abilities and even exceed them in some respects, is being used to help with the ongoing process of digital transformation.  Search engines, communication platforms, and robots, intelligent traffic-control systems, automated administrative or judicial decision-making, automated vehicle-assistance systems, medical diagnostics and therapy, smart homes, and cyberphysical production systems (Industry 4.0) are all examples of AI applications.  The rise of AI-enabled algorithm-based analytical and decision-making systems allows for new forms of monitoring and behavior control (see Rademacher), as well as new types of criminal activities.  Machine learning techniques are presently dominating AI.  The phrase refers to computer programs that may