{"product_id":"139808","title":"Data Ethics ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXOZ6joA5OyLs5RvoVgl4LRJrD5fT.png?v=1765076598\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Data Ethics \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/154829039\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e It addresses key issues in the AI ​​era, including bias in data utilization, privacy, copyright, and deepfakes. \u003cbr\u003eBeyond technological advancement, it presents ethical standards to maintain social trust and fairness.\u003cbr\u003e Artificial Intelligence Encyclopedia.\u003cbr\u003e You can find the artificial intelligence knowledge you need at aiseries.oopy.io.\u003cbr\u003e\n\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e Why data ethics?\u003cbr\u003e\u003cbr\u003e 01 Data Ethics\u003cbr\u003e\u003cbr\u003e 02 Data Collection and Ethics\u003cbr\u003e\u003cbr\u003e 03 Data Bias\u003cbr\u003e\u003cbr\u003e 04 Deepfake\u003cbr\u003e\u003cbr\u003e 05 Synthetic Data and Eugenic Issues\u003cbr\u003e\u003cbr\u003e 06 Profiling and Transparency\u003cbr\u003e\u003cbr\u003e 07 Data Poisoning\u003cbr\u003e\u003cbr\u003e 08 Data Fair Use\u003cbr\u003e\u003cbr\u003e 09 Data Ethics Combined with Algorithms\u003cbr\u003e\u003cbr\u003e 10 Implications\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eInto the book\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e Data is everything that exists on Earth.\u003cbr\u003e Even if it is a written text, image, voice, or video, it exists as data.\u003cbr\u003e The moment it is digitized, anyone can easily use it for any purpose. \u003cbr\u003eThe properties of data vary, including copyright, personal information, trade secrets, and public domain information (facts).\u003cbr\u003e Because the properties are so diverse, the interests are complex and the related laws and protection systems are different.\u003cbr\u003e Representative related laws include the Copyright Act for works, the Personal Information Protection Act for personal information, and the Trade Secret Protection Act for trade secrets.\u003cbr\u003e In addition, various laws are relevant to the data industry as a whole, such as the Framework Act on Promotion of Data Industry and Utilization (hereinafter referred to as the Data Industry Act), and the Public Data Act for data in the public sector.\u003cbr\u003e Despite the existence of various laws, the ethical framework of data cannot be ignored, as it is difficult to properly verify the entire process of data collection, processing, and use.\u003cbr\u003e If data is used without such consideration, future disputes will be self-evident. \u003cbr\u003eData ethics can be viewed as a system for responding to ethical issues in the process of collecting, processing, and using data, including various problems that may arise from using data.\u003cbr\u003e --- From \"01_“Data Ethics”\"\u003cbr\u003e\u003cbr\u003e Because securing data is not easy unless you are a platform operator or have capital, solving the problem of data monopoly requires a common effort from all of humanity.\u003cbr\u003e Above all, due to the monopolization of platform operators, businesses that utilize data based on user data are seeking data monopoly rather than data sovereignty.\u003cbr\u003e Therefore, it is necessary to consider legislative theory to design a stable and predictable system.\u003cbr\u003e Because algorithmic problems are occurring and can be predicted to occur continuously and repeatedly, regulation is necessary. \u003cbr\u003e--- From \"03_“Data Bias”\"\u003cbr\u003e\u003cbr\u003e Artificial intelligence is called a black box.\u003cbr\u003e Because no one can understand the process, and can only infer the results.\u003cbr\u003e This is the main reason why the transparency of artificial intelligence is emphasized.\u003cbr\u003e If the algorithm is distorted or biased, it is difficult to ensure the fairness of the results.\u003cbr\u003e For this reason, in addition to policies and legal systems to control artificial intelligence, various technological techniques are being proposed.\u003cbr\u003e Disclosure of algorithm sources or introduction of auditing techniques are also being discussed as options.\u003cbr\u003e Since artificial intelligence, as a black box, cannot explain its processes, explainable artificial intelligence (XAI, eXplainable AI) is sometimes proposed as a new solution.\u003cbr\u003e --- From “06_“Profiling and Transparency””\u003cbr\u003e \u003cbr\u003eData ethics, which arose due to the problem of data distortion, originated from the intention to prevent acts of intentionally distorting data during the process of utilizing it.\u003cbr\u003e While it is natural to utilize data in the machine learning process, if intentionality is reflected, the resulting social benefits and discrimination will be reflected in the machine, and users of services utilizing such machines will face a situation where they unconsciously embody discrimination or become the parties or subjects of discrimination.\u003cbr\u003e For example, depending on the nature of the service, intentional discrimination such as economic discrimination, socio-cultural discrimination, educational discrimination, and group stratification may become widespread.\u003cbr\u003e A solution to overcome these biases is the discussion on AI ethics and efforts to ensure fairness in the collection, analysis, processing, and use of data. \u003cbr\u003eAdditionally, discussions are needed to ensure the fairness of the algorithms in the learning process using these or in the process of utilizing the learned data.\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e --- From “09_“Data Ethics Combined with Algorithms””\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e Ethics for Trust in the Data Age\u003cbr\u003e\u003cbr\u003e We highlight the challenges we must face in the age of artificial intelligence and big data.\u003cbr\u003e Data has now become one of the four elements of production, along with land, labor, and capital. However, problems such as bias, discrimination, copyright infringement, and privacy violations constantly arise during the process of collecting and utilizing data.\u003cbr\u003e This book analyzes ethical issues that may arise throughout the data lifecycle, covering a wide range of topics, including privacy, algorithmic fairness and transparency, explainable AI, and the tensions between fair use and copyright. \u003cbr\u003eWe also delve into emerging issues such as synthetic data, deepfakes, profiling, and data poisoning.\u003cbr\u003e In particular, it warns that data bias and monopoly can exacerbate social inequality, and suggests the need for institutional and legal mechanisms to overcome this.\u003cbr\u003e Furthermore, it emphasizes that data ethics is not simply a technical norm, but rather the foundation of social trust and democratic values, and presents ethical standards that all individuals, businesses, and policymakers living in the AI ​​era must consider. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e October 14, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 116 pages | 128*188*8mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791143005359 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893379432490,"sku":"139808","price":27.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/b2fe2ec7aff112f280a6c8b050800b69.jpg?v=1765399231","url":"https:\/\/librairie.coreenne.fr\/en\/products\/139808","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}