Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| LAW and ETHICS in CYBERSPACE | KHKY1114351 | Fall Semester | 3+0 | 3 | 7 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Ahmet Ulvi TÜRKBAĞ |
| Name of Lecturer(s) | Prof.Dr. Ahmet Ulvi TÜRKBAĞ |
| Assistant(s) | |
| Aim | In the world, there is an increase in many applications resulting from our advanced computing and forecasting capabilities. Legal professionals (lawyers, judges and prosecutors) need to be at the forefront of this revolution. This course examines a wide range of legal and policy issues raised by artificial intelligence (AI), artificial intelligence (AI): machine learning, deep learning, artificial neural networks and algorithms, and other new technologies. Through weekly discussions, students will explore the many promises and perils of AI. This course is innovative and cutting-edge; students should be too. The laws in the areas we will cover either do not exist or are emerging. Students will have ample opportunity to consider how existing laws can be adapted to meet regulatory and policy needs related to emerging technologies. As the class explores issues raised by the intersection of algorithms and due process, free speech, bias and discrimination, civil liability for semi-autonomous vehicles and medical devices, the financial sector, privacy and surveillance, ethics, and national security, students will have ample opportunity to consider the implications for courts, agency oversight, lawyers, and society. |
| Course Content | This course contains; Artificial Intelligence, Technology, Issues: Historical Background and Current Situation in Turkey a. The First Artificial Intelligence Studies (1) The First Artificial Neural Network-Based Computer SNARC (2) Artificial Intelligence Science and John McCARTHY (3) John HOPFIELD and David RUMELHART (4) Computer “Deep Blue” b. Industry 4.0/ Approaches to the 4th Industrial Revolution Opinion c. Leading Companies and Universities in Artificial Intelligence Studies in the World: USA, France and Switzerland d. Overview of Artificial Intelligence Studies in Turkey,The Structure of Human Mind and the Basic Concepts of Artificial Intelligence a. Human Brain: “Connectom” Structure and Its Unscheduled Nature, Memory Structure and Experience-Based Development Structure b. Programming Artificial Intelligence: Algorithmic Structure and Coding, Ability to Transfer Information in A Holistic Way, Memory Structure, Increasing the Level of Intelligence (1) Analytical Artificial Intelligence and Machine Learning (2) Artificial Intelligence Inspired by Human (3) Humanoid Artificial Intelligence c. The Conception of Big Data d. Weak and Strong Artificial Intelligence Approaches e. Artificial Intelligence Dialogue Systems,Artificial Intelligence and Consciousness Problem a. General Introduction to the Philosophy of Mind (1) Monism and Dualism in the Mind-Body Relationship (2) Language Problem b. Alan Turing’s “Turing Test” Argument c. In Response to the “Turing Test” Argument, John R. Searle and the “Chinese Chamber” Argument,Revealing the Basic Types of Artificial Intelligence, Especially Machine Learning, Deep Learning, Neural Networks and Algorithms and Their Differences from Each Other By This Way, Self-Consciousness a. Debates on the Ethical Status of Artificial Intelligence b. The Possibility of Self-Consciousness in Artificial Intelligence (1) Will and Responsibility (2) Evaluation of Decision Making Processes,Artificial Intelligence and Ethical Issues: Self-Consciousness -II- c. The Possibility of Sensation in Artificial Intelligence (1) Assessment of EQ d. Isaac Asimov's "0+3 Law of Robotics",Artificial Intelligence and Applied Ethics I a. Ethical Responsibilities of People Against Society in Artificial Intelligence Production b. Data Detection of Artificial Intelligence in Consumption Relations (1) Electronic Shopping (2) Detection of Emotions in Shopping and Ethical Responsibility,Artificial Intelligence and Applied Ethics II a. Ethical Determination of Artificial Intelligence in Other Applied Areas Algorithmic discrimination a. What does it mean for an algorithm to discriminate? b. Human v. robot discrimination: levels Discrimination in the Age of Algorithms a. Why do algorithms discriminate? b. Human v. robot discrimination: transparency,Artificial Intelligence and Legal Problems: Personality a. Approaches to the Legal Status of Artificial Intelligence (1) Property Approach (2) Legal Personality Approach (3) Electronic Personality Approach,Artificial Intelligence and Legal Responsibility a. Damage Arising from the Actions of Artificial Intelligence b. Contractual Liability c. Non-Contractual Liability d. Discussions on Fault Liability and Strict Liability e. Determination of the European Commission’s Legal Service Report,Artificial Intelligence and Criminal Responsibility a. Overview of “Robot Murder Cases” (1) Robert Williams, Working at Ford Automobile Factory (January 25, 1979) (2) Kenji Urada, Engineer Working at Kawasaki Factory (July 4, 1981) b. Criminal Law Subjectness of Artificial Intelligence c. Discussions on Moral Element d. Sanction Problem / Sanction-Ethics Relationship,Artificial Intelligence and Legal Practice I a. The Place of Artificial Intelligence in Legal Technology (1) Development of Systems Such As UYAP, E-Devlet, etc. (2) IBM Originated Program ROSS b. Possible Contributions and Losses of Artificial Intelligence to the Advocacy Profession c. Legal Consultancy of Artificial Intelligence (1) A Case for Objection to Park Penalties in UK: “The World’s First Robot Lawyer” Software System,AI as your pilot and taxi driver a. Robo-trolley Problemleri Will Robots Really Steal our Jobs? b. Should we let robots take our jobs? Artificial Intelligence and Legal Practice II a. Functions of Artificial Intelligence in Judgment and Duties of Judges and Prosecutors b. Artificial Intelligence in Analysis of Cases and Application of Rules c. The Use of Artificial Intelligence in Legal Education and the Role of Universities,Possible Political and Sociological Problems of Artificial Intelligence a. Artificial Intelligence in the Debates on Capitalism and Political Sovereignty b. New Business Areas and Unemployment Problems Caused by Artificial Intelligence,Proposal for a Regulation of the European Parliament and of the Council LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS and Current Legal Developments in Artificial Intelligence. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| He/she has knowledge about Artificial Intelligence (AI) systems and its impact on law and legal policies. | 10, 13, 16, 9 | A, E |
| He/She explore and understand the diverse uses of artificial intelligence, from law to medicine. | 10, 16, 9 | A, E |
| Learns not only the advantages but also the disadvantages of artificial intelligence. Gain awareness about possible violations of rights. | 10, 16, 9 | A, E |
| As a subject capable of making ethical decisions, it establishes a relationship between AI technology and ethical theories. | 10, 13, 19, 9 | A, E |
| He/she learns the latest developments in Cyber Space and discovers the tools to follow new developments. | 10, 16, 9 | A, E |
| Teaching Methods: | 10: Discussion Method, 13: Case Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Artificial Intelligence, Technology, Issues: Historical Background and Current Situation in Turkey a. The First Artificial Intelligence Studies (1) The First Artificial Neural Network-Based Computer SNARC (2) Artificial Intelligence Science and John McCARTHY (3) John HOPFIELD and David RUMELHART (4) Computer “Deep Blue” b. Industry 4.0/ Approaches to the 4th Industrial Revolution Opinion c. Leading Companies and Universities in Artificial Intelligence Studies in the World: USA, France and Switzerland d. Overview of Artificial Intelligence Studies in Turkey | No prior preparation is required. |
| 2 | The Structure of Human Mind and the Basic Concepts of Artificial Intelligence a. Human Brain: “Connectom” Structure and Its Unscheduled Nature, Memory Structure and Experience-Based Development Structure b. Programming Artificial Intelligence: Algorithmic Structure and Coding, Ability to Transfer Information in A Holistic Way, Memory Structure, Increasing the Level of Intelligence (1) Analytical Artificial Intelligence and Machine Learning (2) Artificial Intelligence Inspired by Human (3) Humanoid Artificial Intelligence c. The Conception of Big Data d. Weak and Strong Artificial Intelligence Approaches e. Artificial Intelligence Dialogue Systems | No prior preparation is required. |
| 3 | Artificial Intelligence and Consciousness Problem a. General Introduction to the Philosophy of Mind (1) Monism and Dualism in the Mind-Body Relationship (2) Language Problem b. Alan Turing’s “Turing Test” Argument c. In Response to the “Turing Test” Argument, John R. Searle and the “Chinese Chamber” Argument | No prior preparation is required. |
| 4 | Revealing the Basic Types of Artificial Intelligence, Especially Machine Learning, Deep Learning, Neural Networks and Algorithms and Their Differences from Each Other By This Way, Self-Consciousness a. Debates on the Ethical Status of Artificial Intelligence b. The Possibility of Self-Consciousness in Artificial Intelligence (1) Will and Responsibility (2) Evaluation of Decision Making Processes | No prior preparation is required. |
| 5 | Artificial Intelligence and Ethical Issues: Self-Consciousness -II- c. The Possibility of Sensation in Artificial Intelligence (1) Assessment of EQ d. Isaac Asimov's "0+3 Law of Robotics" | No prior preparation is required. |
| 6 | Artificial Intelligence and Applied Ethics I a. Ethical Responsibilities of People Against Society in Artificial Intelligence Production b. Data Detection of Artificial Intelligence in Consumption Relations (1) Electronic Shopping (2) Detection of Emotions in Shopping and Ethical Responsibility | No prior preparation is required. |
| 7 | Artificial Intelligence and Applied Ethics II a. Ethical Determination of Artificial Intelligence in Other Applied Areas Algorithmic discrimination a. What does it mean for an algorithm to discriminate? b. Human v. robot discrimination: levels Discrimination in the Age of Algorithms a. Why do algorithms discriminate? b. Human v. robot discrimination: transparency | No prior preparation is required. |
| 8 | Artificial Intelligence and Legal Problems: Personality a. Approaches to the Legal Status of Artificial Intelligence (1) Property Approach (2) Legal Personality Approach (3) Electronic Personality Approach | No prior preparation is required. |
| 9 | Artificial Intelligence and Legal Responsibility a. Damage Arising from the Actions of Artificial Intelligence b. Contractual Liability c. Non-Contractual Liability d. Discussions on Fault Liability and Strict Liability e. Determination of the European Commission’s Legal Service Report | No prior preparation is required. |
| 10 | Artificial Intelligence and Criminal Responsibility a. Overview of “Robot Murder Cases” (1) Robert Williams, Working at Ford Automobile Factory (January 25, 1979) (2) Kenji Urada, Engineer Working at Kawasaki Factory (July 4, 1981) b. Criminal Law Subjectness of Artificial Intelligence c. Discussions on Moral Element d. Sanction Problem / Sanction-Ethics Relationship | No prior preparation is required. |
| 11 | Artificial Intelligence and Legal Practice I a. The Place of Artificial Intelligence in Legal Technology (1) Development of Systems Such As UYAP, E-Devlet, etc. (2) IBM Originated Program ROSS b. Possible Contributions and Losses of Artificial Intelligence to the Advocacy Profession c. Legal Consultancy of Artificial Intelligence (1) A Case for Objection to Park Penalties in UK: “The World’s First Robot Lawyer” Software System | No prior preparation is required. |
| 12 | AI as your pilot and taxi driver a. Robo-trolley Problemleri Will Robots Really Steal our Jobs? b. Should we let robots take our jobs? Artificial Intelligence and Legal Practice II a. Functions of Artificial Intelligence in Judgment and Duties of Judges and Prosecutors b. Artificial Intelligence in Analysis of Cases and Application of Rules c. The Use of Artificial Intelligence in Legal Education and the Role of Universities | No prior preparation is required. |
| 13 | Possible Political and Sociological Problems of Artificial Intelligence a. Artificial Intelligence in the Debates on Capitalism and Political Sovereignty b. New Business Areas and Unemployment Problems Caused by Artificial Intelligence | No prior preparation is required. |
| 14 | Proposal for a Regulation of the European Parliament and of the Council LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS and Current Legal Developments in Artificial Intelligence | No prior preparation is required. |
| Resources |
| Adalı Eşref, Yapay Zekâ, İnsanlaşan Makineler ve Yapay Zekâ içinde, Haz. Mehmet Karaca, İstanbul, İstanbul Teknik Üniversitesi Vakfı Yayınları, 2017. Asimov Isaac, Ben, Robot, Çev. Ekin Odabaş, İstanbul, İthaki Yayınları, 2006. Kant Immanuel, Ahlâk Metafiziğinin Temellendirilmesi, Çev. İoanna Kuçuradi, Ankara, Türkiye Felsefe Kurumu Yayınları, 2013. Bozkurt Yüksel, A. E. / BAK, B.: “Yapay Zekâ”, Futurist Hukuk, İstanbul, 2018. Bozkurt – Yüksel, Armağan E.: “Robot Hukuku”, Türkiye Adalet Akademisi Dergisi, Yıl 7, S. 29, 2017. Ersoy Çağlar, Robotlar, Yapay Zekâ ve Hukuk, İstanbul, On İki Levha Yayınları, 2018. Kuçuradi İonna, Etik, Ankara, Türkiye Felsefe Kurumu Yayınları, 2006. Nils J. Nilsson, Yapay Zeka-Geçmişi ve Geleceği, İstanbul, Boğaziçi Üniversitesi Yayınevi, 2018 İnternet Kaynakları https://plato.stanford.edu/entries/turing-test/ https://plato.stanford.edu/entries/chinese-room/ http://www.robolaw.eu/RoboLaw_files/documents/robolaw_d6.2_guidelinesregulatingrobotics_20140922.pdf https://www.europarl.europa.eu/doceo/document/A-8-2017-0005_EN.html https://eur-lex.europa.eu/resource.html?uri=cellar:e0649735-a372-11eb-9585-01aa75ed71a1.0001.02/DOC_1&format=PDF https://www.moralmachine.net/ |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | PY1) In light of the current developments in the field of public law, have knowledge about the main sources, legislation and jurisprudence which related to the public law. | X | |||||
| 2 | PY2) With understanding relationships among concept, institution and method that related to disciplines of public law, establish a connection between them. | X | |||||
| 3 | PY3) Reach scientific knowledge in the field of public law, evaluate, and use this information to solve legal problems. | X | |||||
| 4 | PY4) Implement the idea about individual and social problems of public law and in the light of current developments find resolutions. | X | |||||
| 5 | PY5) Solve the problems encountered in the legal theory and practice by using research methods that specific to field of law. | X | |||||
| 6 | PY6) Carry out an independent study which needs expertise in the field of public law and its sub-disciplines. | X | |||||
| 7 | PY7) Develop different perspectives and take responsibility to solve complex issues which require expertise and encountered in the field of public law and its sub-disciplines. | X | |||||
| 8 | PY8) Critically evaluate acquired knowledge and skills in the field of public law and its sub-disciplines. | X | |||||
| 9 | PY9) Develop a positive attitude towards lifelong learning and convert it to behavior. | X | |||||
| 10 | PY10) Mean acquired knowledge in the field of public law and current developments about legal theory and practice to all groups systematically in written or oral form. | X | |||||
| 11 | PY11) Critically question concepts and institutions of law, settled practice of law and norms and when necessary develop and attempt to change them. | X | |||||
| 12 | PY12) Use software which in the level required by the field of law and information and communication technologies in the advanced level. | X | |||||
| 13 | PY13) Take into consideration and internalize social, scientific and ethical values in the process of gathering, processing and evaluating information about field of public law and its sub-disciplines. | X | |||||
| 14 | PY14) With developing understanding of honesty, justice and ethics are required to be lawyer, teach around them. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 1 | 10 | 10 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 30 | 30 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 1 | 10 | 10 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 35 | 35 | |||
| General Exam | 1 | 65 | 65 | |||
| Performance Task, Maintenance Plan | 1 | 10 | 10 | |||
| Total Workload(Hour) | 202 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(202/30) | 7 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| LAW and ETHICS in CYBERSPACE | KHKY1114351 | Fall Semester | 3+0 | 3 | 7 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Ahmet Ulvi TÜRKBAĞ |
| Name of Lecturer(s) | Prof.Dr. Ahmet Ulvi TÜRKBAĞ |
| Assistant(s) | |
| Aim | In the world, there is an increase in many applications resulting from our advanced computing and forecasting capabilities. Legal professionals (lawyers, judges and prosecutors) need to be at the forefront of this revolution. This course examines a wide range of legal and policy issues raised by artificial intelligence (AI), artificial intelligence (AI): machine learning, deep learning, artificial neural networks and algorithms, and other new technologies. Through weekly discussions, students will explore the many promises and perils of AI. This course is innovative and cutting-edge; students should be too. The laws in the areas we will cover either do not exist or are emerging. Students will have ample opportunity to consider how existing laws can be adapted to meet regulatory and policy needs related to emerging technologies. As the class explores issues raised by the intersection of algorithms and due process, free speech, bias and discrimination, civil liability for semi-autonomous vehicles and medical devices, the financial sector, privacy and surveillance, ethics, and national security, students will have ample opportunity to consider the implications for courts, agency oversight, lawyers, and society. |
| Course Content | This course contains; Artificial Intelligence, Technology, Issues: Historical Background and Current Situation in Turkey a. The First Artificial Intelligence Studies (1) The First Artificial Neural Network-Based Computer SNARC (2) Artificial Intelligence Science and John McCARTHY (3) John HOPFIELD and David RUMELHART (4) Computer “Deep Blue” b. Industry 4.0/ Approaches to the 4th Industrial Revolution Opinion c. Leading Companies and Universities in Artificial Intelligence Studies in the World: USA, France and Switzerland d. Overview of Artificial Intelligence Studies in Turkey,The Structure of Human Mind and the Basic Concepts of Artificial Intelligence a. Human Brain: “Connectom” Structure and Its Unscheduled Nature, Memory Structure and Experience-Based Development Structure b. Programming Artificial Intelligence: Algorithmic Structure and Coding, Ability to Transfer Information in A Holistic Way, Memory Structure, Increasing the Level of Intelligence (1) Analytical Artificial Intelligence and Machine Learning (2) Artificial Intelligence Inspired by Human (3) Humanoid Artificial Intelligence c. The Conception of Big Data d. Weak and Strong Artificial Intelligence Approaches e. Artificial Intelligence Dialogue Systems,Artificial Intelligence and Consciousness Problem a. General Introduction to the Philosophy of Mind (1) Monism and Dualism in the Mind-Body Relationship (2) Language Problem b. Alan Turing’s “Turing Test” Argument c. In Response to the “Turing Test” Argument, John R. Searle and the “Chinese Chamber” Argument,Revealing the Basic Types of Artificial Intelligence, Especially Machine Learning, Deep Learning, Neural Networks and Algorithms and Their Differences from Each Other By This Way, Self-Consciousness a. Debates on the Ethical Status of Artificial Intelligence b. The Possibility of Self-Consciousness in Artificial Intelligence (1) Will and Responsibility (2) Evaluation of Decision Making Processes,Artificial Intelligence and Ethical Issues: Self-Consciousness -II- c. The Possibility of Sensation in Artificial Intelligence (1) Assessment of EQ d. Isaac Asimov's "0+3 Law of Robotics",Artificial Intelligence and Applied Ethics I a. Ethical Responsibilities of People Against Society in Artificial Intelligence Production b. Data Detection of Artificial Intelligence in Consumption Relations (1) Electronic Shopping (2) Detection of Emotions in Shopping and Ethical Responsibility,Artificial Intelligence and Applied Ethics II a. Ethical Determination of Artificial Intelligence in Other Applied Areas Algorithmic discrimination a. What does it mean for an algorithm to discriminate? b. Human v. robot discrimination: levels Discrimination in the Age of Algorithms a. Why do algorithms discriminate? b. Human v. robot discrimination: transparency,Artificial Intelligence and Legal Problems: Personality a. Approaches to the Legal Status of Artificial Intelligence (1) Property Approach (2) Legal Personality Approach (3) Electronic Personality Approach,Artificial Intelligence and Legal Responsibility a. Damage Arising from the Actions of Artificial Intelligence b. Contractual Liability c. Non-Contractual Liability d. Discussions on Fault Liability and Strict Liability e. Determination of the European Commission’s Legal Service Report,Artificial Intelligence and Criminal Responsibility a. Overview of “Robot Murder Cases” (1) Robert Williams, Working at Ford Automobile Factory (January 25, 1979) (2) Kenji Urada, Engineer Working at Kawasaki Factory (July 4, 1981) b. Criminal Law Subjectness of Artificial Intelligence c. Discussions on Moral Element d. Sanction Problem / Sanction-Ethics Relationship,Artificial Intelligence and Legal Practice I a. The Place of Artificial Intelligence in Legal Technology (1) Development of Systems Such As UYAP, E-Devlet, etc. (2) IBM Originated Program ROSS b. Possible Contributions and Losses of Artificial Intelligence to the Advocacy Profession c. Legal Consultancy of Artificial Intelligence (1) A Case for Objection to Park Penalties in UK: “The World’s First Robot Lawyer” Software System,AI as your pilot and taxi driver a. Robo-trolley Problemleri Will Robots Really Steal our Jobs? b. Should we let robots take our jobs? Artificial Intelligence and Legal Practice II a. Functions of Artificial Intelligence in Judgment and Duties of Judges and Prosecutors b. Artificial Intelligence in Analysis of Cases and Application of Rules c. The Use of Artificial Intelligence in Legal Education and the Role of Universities,Possible Political and Sociological Problems of Artificial Intelligence a. Artificial Intelligence in the Debates on Capitalism and Political Sovereignty b. New Business Areas and Unemployment Problems Caused by Artificial Intelligence,Proposal for a Regulation of the European Parliament and of the Council LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS and Current Legal Developments in Artificial Intelligence. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| He/she has knowledge about Artificial Intelligence (AI) systems and its impact on law and legal policies. | 10, 13, 16, 9 | A, E |
| He/She explore and understand the diverse uses of artificial intelligence, from law to medicine. | 10, 16, 9 | A, E |
| Learns not only the advantages but also the disadvantages of artificial intelligence. Gain awareness about possible violations of rights. | 10, 16, 9 | A, E |
| As a subject capable of making ethical decisions, it establishes a relationship between AI technology and ethical theories. | 10, 13, 19, 9 | A, E |
| He/she learns the latest developments in Cyber Space and discovers the tools to follow new developments. | 10, 16, 9 | A, E |
| Teaching Methods: | 10: Discussion Method, 13: Case Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Artificial Intelligence, Technology, Issues: Historical Background and Current Situation in Turkey a. The First Artificial Intelligence Studies (1) The First Artificial Neural Network-Based Computer SNARC (2) Artificial Intelligence Science and John McCARTHY (3) John HOPFIELD and David RUMELHART (4) Computer “Deep Blue” b. Industry 4.0/ Approaches to the 4th Industrial Revolution Opinion c. Leading Companies and Universities in Artificial Intelligence Studies in the World: USA, France and Switzerland d. Overview of Artificial Intelligence Studies in Turkey | No prior preparation is required. |
| 2 | The Structure of Human Mind and the Basic Concepts of Artificial Intelligence a. Human Brain: “Connectom” Structure and Its Unscheduled Nature, Memory Structure and Experience-Based Development Structure b. Programming Artificial Intelligence: Algorithmic Structure and Coding, Ability to Transfer Information in A Holistic Way, Memory Structure, Increasing the Level of Intelligence (1) Analytical Artificial Intelligence and Machine Learning (2) Artificial Intelligence Inspired by Human (3) Humanoid Artificial Intelligence c. The Conception of Big Data d. Weak and Strong Artificial Intelligence Approaches e. Artificial Intelligence Dialogue Systems | No prior preparation is required. |
| 3 | Artificial Intelligence and Consciousness Problem a. General Introduction to the Philosophy of Mind (1) Monism and Dualism in the Mind-Body Relationship (2) Language Problem b. Alan Turing’s “Turing Test” Argument c. In Response to the “Turing Test” Argument, John R. Searle and the “Chinese Chamber” Argument | No prior preparation is required. |
| 4 | Revealing the Basic Types of Artificial Intelligence, Especially Machine Learning, Deep Learning, Neural Networks and Algorithms and Their Differences from Each Other By This Way, Self-Consciousness a. Debates on the Ethical Status of Artificial Intelligence b. The Possibility of Self-Consciousness in Artificial Intelligence (1) Will and Responsibility (2) Evaluation of Decision Making Processes | No prior preparation is required. |
| 5 | Artificial Intelligence and Ethical Issues: Self-Consciousness -II- c. The Possibility of Sensation in Artificial Intelligence (1) Assessment of EQ d. Isaac Asimov's "0+3 Law of Robotics" | No prior preparation is required. |
| 6 | Artificial Intelligence and Applied Ethics I a. Ethical Responsibilities of People Against Society in Artificial Intelligence Production b. Data Detection of Artificial Intelligence in Consumption Relations (1) Electronic Shopping (2) Detection of Emotions in Shopping and Ethical Responsibility | No prior preparation is required. |
| 7 | Artificial Intelligence and Applied Ethics II a. Ethical Determination of Artificial Intelligence in Other Applied Areas Algorithmic discrimination a. What does it mean for an algorithm to discriminate? b. Human v. robot discrimination: levels Discrimination in the Age of Algorithms a. Why do algorithms discriminate? b. Human v. robot discrimination: transparency | No prior preparation is required. |
| 8 | Artificial Intelligence and Legal Problems: Personality a. Approaches to the Legal Status of Artificial Intelligence (1) Property Approach (2) Legal Personality Approach (3) Electronic Personality Approach | No prior preparation is required. |
| 9 | Artificial Intelligence and Legal Responsibility a. Damage Arising from the Actions of Artificial Intelligence b. Contractual Liability c. Non-Contractual Liability d. Discussions on Fault Liability and Strict Liability e. Determination of the European Commission’s Legal Service Report | No prior preparation is required. |
| 10 | Artificial Intelligence and Criminal Responsibility a. Overview of “Robot Murder Cases” (1) Robert Williams, Working at Ford Automobile Factory (January 25, 1979) (2) Kenji Urada, Engineer Working at Kawasaki Factory (July 4, 1981) b. Criminal Law Subjectness of Artificial Intelligence c. Discussions on Moral Element d. Sanction Problem / Sanction-Ethics Relationship | No prior preparation is required. |
| 11 | Artificial Intelligence and Legal Practice I a. The Place of Artificial Intelligence in Legal Technology (1) Development of Systems Such As UYAP, E-Devlet, etc. (2) IBM Originated Program ROSS b. Possible Contributions and Losses of Artificial Intelligence to the Advocacy Profession c. Legal Consultancy of Artificial Intelligence (1) A Case for Objection to Park Penalties in UK: “The World’s First Robot Lawyer” Software System | No prior preparation is required. |
| 12 | AI as your pilot and taxi driver a. Robo-trolley Problemleri Will Robots Really Steal our Jobs? b. Should we let robots take our jobs? Artificial Intelligence and Legal Practice II a. Functions of Artificial Intelligence in Judgment and Duties of Judges and Prosecutors b. Artificial Intelligence in Analysis of Cases and Application of Rules c. The Use of Artificial Intelligence in Legal Education and the Role of Universities | No prior preparation is required. |
| 13 | Possible Political and Sociological Problems of Artificial Intelligence a. Artificial Intelligence in the Debates on Capitalism and Political Sovereignty b. New Business Areas and Unemployment Problems Caused by Artificial Intelligence | No prior preparation is required. |
| 14 | Proposal for a Regulation of the European Parliament and of the Council LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS and Current Legal Developments in Artificial Intelligence | No prior preparation is required. |
| Resources |
| Adalı Eşref, Yapay Zekâ, İnsanlaşan Makineler ve Yapay Zekâ içinde, Haz. Mehmet Karaca, İstanbul, İstanbul Teknik Üniversitesi Vakfı Yayınları, 2017. Asimov Isaac, Ben, Robot, Çev. Ekin Odabaş, İstanbul, İthaki Yayınları, 2006. Kant Immanuel, Ahlâk Metafiziğinin Temellendirilmesi, Çev. İoanna Kuçuradi, Ankara, Türkiye Felsefe Kurumu Yayınları, 2013. Bozkurt Yüksel, A. E. / BAK, B.: “Yapay Zekâ”, Futurist Hukuk, İstanbul, 2018. Bozkurt – Yüksel, Armağan E.: “Robot Hukuku”, Türkiye Adalet Akademisi Dergisi, Yıl 7, S. 29, 2017. Ersoy Çağlar, Robotlar, Yapay Zekâ ve Hukuk, İstanbul, On İki Levha Yayınları, 2018. Kuçuradi İonna, Etik, Ankara, Türkiye Felsefe Kurumu Yayınları, 2006. Nils J. Nilsson, Yapay Zeka-Geçmişi ve Geleceği, İstanbul, Boğaziçi Üniversitesi Yayınevi, 2018 İnternet Kaynakları https://plato.stanford.edu/entries/turing-test/ https://plato.stanford.edu/entries/chinese-room/ http://www.robolaw.eu/RoboLaw_files/documents/robolaw_d6.2_guidelinesregulatingrobotics_20140922.pdf https://www.europarl.europa.eu/doceo/document/A-8-2017-0005_EN.html https://eur-lex.europa.eu/resource.html?uri=cellar:e0649735-a372-11eb-9585-01aa75ed71a1.0001.02/DOC_1&format=PDF https://www.moralmachine.net/ |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | PY1) In light of the current developments in the field of public law, have knowledge about the main sources, legislation and jurisprudence which related to the public law. | X | |||||
| 2 | PY2) With understanding relationships among concept, institution and method that related to disciplines of public law, establish a connection between them. | X | |||||
| 3 | PY3) Reach scientific knowledge in the field of public law, evaluate, and use this information to solve legal problems. | X | |||||
| 4 | PY4) Implement the idea about individual and social problems of public law and in the light of current developments find resolutions. | X | |||||
| 5 | PY5) Solve the problems encountered in the legal theory and practice by using research methods that specific to field of law. | X | |||||
| 6 | PY6) Carry out an independent study which needs expertise in the field of public law and its sub-disciplines. | X | |||||
| 7 | PY7) Develop different perspectives and take responsibility to solve complex issues which require expertise and encountered in the field of public law and its sub-disciplines. | X | |||||
| 8 | PY8) Critically evaluate acquired knowledge and skills in the field of public law and its sub-disciplines. | X | |||||
| 9 | PY9) Develop a positive attitude towards lifelong learning and convert it to behavior. | X | |||||
| 10 | PY10) Mean acquired knowledge in the field of public law and current developments about legal theory and practice to all groups systematically in written or oral form. | X | |||||
| 11 | PY11) Critically question concepts and institutions of law, settled practice of law and norms and when necessary develop and attempt to change them. | X | |||||
| 12 | PY12) Use software which in the level required by the field of law and information and communication technologies in the advanced level. | X | |||||
| 13 | PY13) Take into consideration and internalize social, scientific and ethical values in the process of gathering, processing and evaluating information about field of public law and its sub-disciplines. | X | |||||
| 14 | PY14) With developing understanding of honesty, justice and ethics are required to be lawyer, teach around them. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |