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The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation.
Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this.
Artificial intelligence. In the field of artificial intelligence (AI), AI alignment research aims to steer AI systems toward a person's or group's intended goals, preferences, and ethical principles. An AI system is considered aligned if it advances its intended objectives. A misaligned AI system may pursue some objectives, but not the intended ...
AI’s ability to generate base code will free up tomorrow’s programmers—kids today—to better focus on creativity and problem-solving.
Information ethics. Information ethics has been defined as "the branch of ethics that focuses on the relationship between the creation, organization, dissemination, and use of information, and the ethical standards and moral codes governing human conduct in society". [1] It examines the morality that comes from information as a resource, a ...
The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science [1] that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will. [2] [3] Furthermore, the technology is concerned with the creation of artificial animals or artificial people (or ...
An AI may partly botch an attempt to design a new generation of itself and accidentally create a successor AI that is more powerful than itself but that no longer maintains the human-compatible moral values preprogrammed into the original AI.
Academic integrity is the moral code or ethical policy of academia. The term was popularized by Rutgers University professor Donald McCabe who is considered to be the "grandfather of academic integrity". [1]
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