CCS345 ETHICS AND AI Anna University Syllabus Regulation 2021

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CCS345 ETHICS AND AI

CCS345 ETHICS AND AI 

Anna University Syllabus Regulation 2021

CCS345 ETHICS AND AI                                                                                            L T P C 

                                                                                                                                         2 0 2 3 

COURSE OBJECTIVES: 

  • Study the morality and ethics in AI 
  • Learn about the Ethical initiatives in the field of artificial intelligence 
  • Study about AI standards and Regulations 
  • Study about social and ethical issues of Robot Ethics 
  • Study about AI and Ethics- challenges and opportunities 

UNIT I INTRODUCTION                                                                                                     6 

Definition of morality and ethics in AI-Impact on society-Impact on human psychology-Impact on the legal system-Impact on the environment and the planet-Impact on trust 

UNIT II ETHICAL INITIATIVES IN AI                                                                            6 

International ethical initiatives-Ethical harms and concerns-Case study: healthcare robots, Autonomous Vehicles , Warfare and weaponization. 

UNIT III AI STANDARDS AND REGULATION                                                              6 

Model Process for Addressing Ethical Concerns During System Design - Transparency of Autonomous Systems-Data Privacy Process- Algorithmic Bias Considerations - Ontological Standard for Ethically Driven Robotics and Automation Systems 

UNIT IV ROBOETHICS: SOCIAL AND ETHICAL IMPLICATION OF ROBOTICS 6 

Robot-Roboethics- Ethics and Morality- Moral Theories-Ethics in Science and Technology - Ethical Issues in an ICT Society- Harmonization of Principles- Ethics and Professional ResponsibilityRoboethics Taxonomy. 

UNIT V AI AND ETHICS- CHALLENGES AND OPPORTUNITIES                            6 

Challenges - Opportunities- ethical issues in artificial intelligence- Societal Issues Concerning the Application of Artificial Intelligence in Medicine- decision-making role in industries-National and International Strategies on AI. 

                                                                                                                             30 PERIODS 

COURSE OUTCOMES: 

On completion of the course, the students will be able to 

CO1: Learn about morality and ethics in AI 

CO2: Acquire the knowledge of real time application ethics, issues and its challenges. 194 

CO3: Understand the ethical harms and ethical initiatives in AI 

CO4: Learn about AI standards and Regulations like AI Agent, Safe Design of Autonomous and Semi-Autonomous Systems 

CO5: Understand the concepts of Roboethics and Morality with professional responsibilities. 

CO6: Learn about the societal issues in AI with National and International Strategies on AI 

PRACTICAL EXERCISES                                                                             30 PERIODS 

1. Recent case study of ethical initiatives in healthcare, autonomous vehicles and defense 

2. Exploratory data analysis on a 2 variable linear regression model 

3. Experiment the regression model without a bias and with bias 

4. Classification of a dataset from UCI repository using a perceptron with and without bias 

5. Case study on ontology where ethics is at stake 

6. Identification on optimization in AI affecting ethics 

                                                                                                             TOTAL:60 PERIODS 

TEXT BOOKS: 

1. y. Eleanor Bird, Jasmin Fox-Skelly, Nicola Jenner, Ruth Larbey, Emma Weitkamp and Alan Winfield ,”The ethics of artificial intelligence: Issues and initiatives”, EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA) PE 634.452 – March 2020 

2. Patrick Lin, Keith Abney, George A Bekey,” Robot Ethics: The Ethical and Social Implications of Robotics”, The MIT Press- January 2014. 

REFERENCES: 

1. Towards a Code of Ethics for Artificial Intelligence (Artificial Intelligence: Foundations, Theory, and Algorithms) by Paula Boddington, November 2017 

2. Mark Coeckelbergh,” AI Ethics”, The MIT Press Essential Knowledge series, April 2020 

3. Web link: 

4. https://sci-hub.mksa.top/10.1007/978-3-540-30301-5_65 

5. https://www.scu.edu/ethics/all-about-ethics/artificial-intelligence-and-ethics-sixteenchallenges-and-opportunities/ 

6. https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/ 

7. https://sci-hub.mksa.top/10.1159/000492428

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