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This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management.The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.

Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

Sprachassistenten und Künstliche Intelligenz sind aus dem modernen Leben und dem Marketing vieler Unternehmen nicht mehr wegzudenken. Ein wichtiges Kriterium einer vernetzen Welt ist, dass nicht nur der Anwender, sondern zusehends auch die Produkte intelligent sind. Im Zentrum dieses »Smart Living« stehen Sprachassistenten. Aus rechtlicher Perspektive wirft das Dazwischentreten eines zunehmend autonom handelnden maschinellen Assistenten zahlreiche Fragen auf. So gilt es unter anderem zu klären, wem die Handlungen des Sprachassistenten zugerechnet werden müssen bzw. wer haftet, falls durch bewusste oder unbewusste Handlungen des Sprachassistenten einem Dritten Schäden zugefügt werden. Ferner ist zu beleuchten, wem die Inhalte, die der Sprachassistent möglicherweise schafft, zuzuordnen sind. Auch das Datenschutzrecht, seit Einführung der DSGVO von gesteigerter Relevanz und viel diskutiert, darf in einer datenzentrierten Umgebung, wie es der Einsatz von Sprachassistenten im Speziellen und das Konzept Smart Living im Allgemeinen mit sich bringt, nicht vernachlässigt werden.

If you want to'change lives, change organizations, change the world,'the Stanford business school's motto, you need power. Is power the last dirty secret or the secret to success? Both. While power carries some negative connotations, power is a tool that can be used for good or evil. Don't blame the tool for how some people used it. Rooted firmly in social science research, Pfeffer's 7 rules provide a manual for increasing your ability to get things done, including increasing the positive effects of your job performance. With 7 Rules of Power, you'll learn, through both numerous examples as well as research evidence, how to accomplish change in your organization, your life, the lives of others, and the world.

If you want to'change lives, change organizations, change the world,'the Stanford business school's motto, you need power.Is power the last dirty secret or the secret to success? Both. While power carries some negative connotations, power is a tool that can be used for good or evil. Don't blame the tool for how some people used it. If fully understood and harnessed effectively, power skills and understanding become the keys to increasing salaries, job satisfaction, career advancement, organizational change, and, happiness. In 7 Rules of Power, Jeffrey Pfeffer, professor of organizational behavior at the Stanford University Graduate School of Business, provides the insights that have made both his online and on-campus classes incredibly popular—with life-changing results often achieved in 8 or 10 weeks. Rooted firmly in social science research, Pfeffer's 7 rules provide a manual for increasing your ability to get things done, including increasing the positive effects of your job performance. The 7 rules are: 1) Get out of your own way.2) Break the rules.3) Show up in powerful fashion.4) Create a powerful brand.5) Network relentlessly.6) Use your power.7) Understand that once you have acquired power, what you did to get it will be forgiven, forgotten, or both. With 7 Rules of Power, you'll learn, through both numerous examples as well as research evidence, how to accomplish change in your organization, your life, the lives of others, and the world.