{"id":260507,"date":"2022-11-25T20:46:15","date_gmt":"2022-11-25T15:16:15","guid":{"rendered":"https:\/\/www.jigsawacademy.com\/?p=260507"},"modified":"2022-11-25T20:46:55","modified_gmt":"2022-11-25T15:16:55","slug":"what-are-the-ethics-in-artificial-intelligence-ai","status":"publish","type":"post","link":"https:\/\/www.jigsawacademy.com\/blogs\/what-are-the-ethics-in-artificial-intelligence-ai\/","title":{"rendered":"What Are the Ethics in Artificial Intelligence (AI)?"},"content":{"rendered":"

Introduction to Artificial Intelligence<\/span><\/b>\u00a0<\/span><\/h2>\n

Artificial Intelligence (AI) is the field of study that aims to create machines that can perform tasks normally requiring human intelligence. It enables computers and other devices to make decisions, take actions, and even appear to think as humans do. AI systems have been used in many domains, including medical diagnosis, stock trading, robot control, and self-driving cars.<\/span>\u00a0<\/span><\/p>\n

There are two primary types of AI:\u00a0<\/span>\u00a0<\/span><\/p>\n

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  • General Purpose AI<\/span>\u00a0<\/span><\/li>\n
  • Domain-Specific AI<\/span>\u00a0<\/span><\/li>\n<\/ul>\n

    General Purpose AI is designed to be able to perform any intellectual task that a human being can. Examples include IBM’s Watson, which was designed to play Jeopardy! Google’s AlphaGo system and DeepMind’s Alpha Zero system for playing chess or go (a Chinese board game). These general AIs require large amounts of data about how humans behave, so they can learn from this data how people solve problems in those domains and how they should solve those problems themselves.<\/span>\u00a0<\/span><\/p>\n

    Domain-Specific AI is specialized for performing specific tasks in particular areas, such as healthcare diagnostics or financial trading transactions, based on very little data compared with a general AI approach. It is because they require only very specific knowledge about these tasks (e.g., thousands of pictures instead of dozens per photo category).<\/span>\u00a0<\/span><\/p>\n

    AI is often confused with Machine Learning, a subset of AI. Machine Learning allows computers to learn from data without being explicitly programmed.<\/span>\u00a0<\/span><\/p>\n

    For example, a Machine Learning algorithm might use past data to predict whether you will likely be diagnosed with cancer-based on your symptoms. Machine Learning is often used alongside other AI techniques, such as Deep Learning and Natural Language Processing (NLP). Deep learning involves training complex neural networks using large amounts of data.<\/span>\u00a0<\/span><\/p>\n

    NLP is the ability of computers to understand human languages. For example, imagine you tell a computer, \u201cI’m going to the movies this weekend”\u2014this is called natural language processing (NLP). NLP allows AIs to go beyond simple commands and instructions by understanding what you mean.<\/span><\/p>\n

    AI is a broad term that refers to machines that can perform tasks normally requiring human intelligence. These include things like learning, planning, and problem-solving. The term was coined in 1956 by John McCarthy, who defined it as “the science and engineering of making intelligent machines.” Now let’s <\/span>explain Artificial Intelligence ethics<\/span><\/b>.<\/span>\u00a0<\/span><\/p>\n

    What are AI ethics?<\/span><\/b>\u00a0<\/span><\/h2>\n

    What are AI ethics<\/span><\/b>?<\/span> AI ethics<\/span><\/b> are the study of the moral and ethical considerations involved in developing and using Artificial Intelligence. The field of AI ethics does not only focus on what is morally right or wrong for a specific machine but also on how to approach important questions such as: How can we make sure that autonomous machines act following our values? How can we ensure that they have less probability of harming humans than other technologies? What is our responsibility as designers and users of <\/span>ethical AI<\/span><\/b> systems?<\/span>\u00a0<\/span><\/p>\n

    Ethics in AI<\/span><\/b> are also referred to as machine ethics or computational ethics. As an emerging discipline, it is often unclear what constitutes “good” or “bad” behavior for AI algorithms. However, several principles guide researchers in this area:<\/span>\u00a0<\/span><\/p>\n