Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics.

Lesson 45/59 | Study Time: Min


Computers and society intertwine in many significant ways, and one of the primary areas where they converge is the domain of ethics and law. This lesson delves into the philosophical underpinnings of ethical theories such as utilitarianism and deontological ethics, and their application within the information technology industry. It also provides an in-depth look at the structure and function of the U.S. legal system and how it shapes the principles of law and order within the realm of computer technology.

Diving into Ethical Theories: Utilitarianism and Deontological Ethics

It's essential to look at computer technology through an ethical lens. Two of the dominant ethical theories that aid in this exploration are utilitarianism and deontological ethics.

Utilitarianism, derived from the Latin "utilis," meaning useful, is an ethical theory that holds that the best action is the one that maximizes utility, or in simpler terms, does the most good for the most number of people. In the context of computer technology, utilitarianism could entail creating technologies that improve society's overall wellbeing. A utilitarian ethicist might argue that the benefits of widespread data collection, for example, in improving targeted advertisements or efficiently delivering public services, outweigh the potential privacy concerns.

On the contrary, deontological ethics is duty or rule-based ethics, where the morality of an action is based on whether that action itself is right or wrong under a series of rules, rather than based on the consequences of the action. A deontologist working in the IT industry might oppose widespread data collection on the grounds that it infringes upon individuals' rights to privacy, regardless of the potential benefits.

Understanding the U.S. Legal System

The U.S. legal system plays a crucial role in shaping the ethical, legal, and professional boundaries within which computer technology operates. This system, structured with a clear hierarchy of courts, including the Supreme Court at the top, followed by Circuit Courts, District Courts, and State Courts, is central to understanding the legal principles guiding the IT industry.

The U.S. legal system is primarily based on legislation passed by the Congress and case law or precedent set by previous court decisions. For example, the Computer Fraud and Abuse Act (CFAA) is a piece of legislation that prohibits accessing a computer system without authorization or in excess of authorization. On the other hand, case law, such as the landmark decision in Sony Corp. vs. Universal City Studios (1984), has guided the interpretation and implementation of laws related to technology. In that case, the Supreme Court ruled that making individual copies of complete television shows for purposes of time-shifting does not constitute copyright infringement, a verdict that still impacts current laws and policies around digital media and copyright.

Through the exploration of these ethical theories and the U.S. legal system, this lesson provides a foundation for understanding the crossroads of computers and society, preparing us to navigate the ever-evolving ethical and legal landscapes of the IT industry.



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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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