Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare.

Lesson 49/59 | Study Time: Min


The Ethical Aspect of Robots in Healthcare

Robots: A Revolutionary Change in Healthcare

The advent of robotics has reshaped many industries, particularly healthcare. Robots are now involved in various healthcare processes ranging from patient care to performing intricate surgeries. This transformative change has not only increased efficiency but also raised a host of ethical questions. The thought of machines providing care, which is fundamentally a human attribute, gives rise to numerous ethical conundrums.

Robots in Patient Care: Ethical Considerations

Patient Care Robots 🤖 are a boon to the healthcare sector. They can perform a series of tasks, from monitoring vital signs to assisting patients with mobility issues. But the rise of these robots necessitates the query: what happens to the human touch in caregiving?

In a real-life scenario, consider the case of an elderly person who is being taken care of by a robot. While the robot can efficiently take care of the physical tasks, can it replicate the empathy, compassion and emotional support provided by a human caregiver? Can a machine understand the patient's emotional state and respond accordingly? These ethical issues need thorough analysis and discussion to set suitable boundaries in this regard.

Robotic Nurse Assistant (RONA), developed to help nurses move and reposition patients, is efficient and reduces physical strain on nurses. But can it replace the emotional comfort that a human nurse provides to a patient?


Robotic Surgery: Weighing Efficiency Vs Ethicality

In the Surgical realm, robots like the Da Vinci Surgical System have been a game-changer. These robots can perform highly complex surgeries with exceptional precision and lower risk of infection. But, again, there are ethical issues to consider.

For instance, there's a question of responsibility in case of surgical errors. If a robot-assisted surgery goes wrong, who is to blame? Is it the surgeon controlling the robot, the hospital, the robot manufacturer, or the robot itself? This conundrum adds a layer of complexity to the already complex realm of medical ethics.

In 2015, a woman in Michigan died due to complications following a robot-assisted surgery. This raised questions about the accountability and ethical implications of using robots in surgeries.


Ethical Implications of Human-Robot Interaction

Human-Robot Interaction (HRI), especially in healthcare, affects human autonomy. Dependence on robots for healthcare needs can lead to loss of autonomy and privacy. For example, a robot monitoring a patient's activities round the clock may invade the personal space of the patient.

Hence, it's crucial to maintain a balance between robotic assistance and human autonomy. The goal should be to make robots a tool for enhancing human capabilities and not replacing them.

Conclusion: An Ethical Framework for Healthcare Robotics

With the increasing use of robots in healthcare, it is imperative to have a strong ethical framework guiding their use. This framework should ensure that while we reap the benefits of this technology, we do not compromise on ethical values like empathy, privacy, and autonomy. The task is daunting but necessary to ensure the symbiotic co-existence of humans and robots in healthcare




UeCampus

UeCampus

Product Designer
Profile

Class Sessions

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.
noreply@uecampus.com
-->