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James H. Moor, one of the pioneering theoreticians in the field of computer ethics, defines four kinds of ethical robots.As an extensive researcher on the studies of philosophy of artificial intelligence, philosophy of mind, philosophy of science, and logic, Moor defines machines as ethical impact agents, implicit ethical agents, explicit ethical agents, or full ethical agents.
Robot ethics is a sub-field of ethics of technology, specifically information technology, and it has close links to legal as well as socio-economic concerns. Researchers from diverse areas are beginning to tackle ethical questions about creating robotic technology and implementing it in societies, in a way that will still ensure the safety of ...
The Centre for Digital Governance at the Hertie School in Berlin was co-founded by Joanna Bryson to research questions of ethics and technology. [ 162 ] The AI Now Institute at NYU is a research institute studying the social implications of artificial intelligence.
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
The ethics of technology is a sub-field of ethics addressing ethical questions specific to the technology age, the transitional shift in society wherein personal computers and subsequent devices provide for the quick and easy transfer of information. Technology ethics is the application of ethical thinking to growing concerns as new ...
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions. It merges aspects of data engineering and software engineering to create real-world applications in diverse domains such as healthcare, finance, autonomous systems, and industrial automation. [1] [2]
Business process automation (BPA) is the technology-enabled automation of complex business processes. [108] It can help to streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs. BPA consists of integrating applications, restructuring labor resources and using ...