Responsible AI: Transparency, Accountability, Explainability and Privacy
CSE-41402
Responsible AI: Ethical Implications and Societal Impact
Dive into the ethical, social, and political dimensions of artificial intelligence (AI) with our Responsible AI course. Explore how AI technologies influence fairness, privacy, bias, democracy, and social justice. Through engaging case studies, dynamic discussions, and practical hands-on exercises, students will gain a deep understanding of the ethical challenges and societal implications of AI. Learn to develop a comprehensive framework for designing, developing, and deploying AI systems responsibly, ensuring fairness, transparency, and accountability.
Join us on this transformative journey to shape the future of AI responsibly.
Course Highlights:
- AI and ethical implications, bias, and societal impact.
- AI privacy, safety, security, and data protection.
- AI frameworks and tools for bias mitigation, transparency, and privacy.
- Ethical considerations during the AI development lifecycle.
- AI governance and regulatory landscapes.
- Algorithmic fairness, bias, and surveillance.
- Overview of tools and techniques to reduce AI-based bias and improve transparency.
Learning Outcomes:
By the end of the course, students will learn about:- Critical Analysis: Ability to evaluate AI systems for ethical implications, bias, and potential social harm.
- Frameworks and Tools: Develop an understanding of various responsible AI frameworks and tools for bias mitigation, transparency, and privacy.
- Empathetic Design: Integrate ethical considerations throughout the AI development lifecycle.
- Policy Awareness: Be conversant in regulatory landscapes and policy discussions regarding AI ethics.
- Societal Impact: Analyze and articulate the broad societal impact of AI developments.
- Effective Communication: Successfully communicate ethical AI considerations to technical and non-technical audiences.
Course Typically Offered: Online during Summer and Winter quarter.
Prerequisites: Basic understanding of business and technology and an interest on the impact of AI on business processes and transformation. A bachelor's degree or equivalent experience in any field is desirable.
Next steps: Upon completion of this class, consider enrolling in other courses in the Machine Learning Methods Certificate.
More information: Contact unex-techdata@ucsd.edu to learn more about our programs in Data Science.
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
No information available at this time.
Policies:
- No refunds after: 9/30/2024
Schedule:
Instructor: Khosrow Khosravani
Khosrow “Koz” Khosravani has been involved in the field of Information Technology for over 3 decades. He started as a Software Engineer at Digital Equipment Corporation (later merged with Compaq) coding Vax-Macro assembly language for VAX mini-computer clusters. He then was involved with many firms as an IT consultant and trainer. His area of specialization includes software engineering, e-business security & back-end integration, distributed relational database management systems, wireless technologies, networking, web development, and distributed applications. He has trained hundreds of employees at major US firms such as Boeing and Raytheon in the areas of web development, online security, and software engineering as well as the integration with back-end systems such as Microsoft IIS web server, SQL server, site server, and the Biztalk server, utilizing Windows advanced server platform.
Koz is currently conducting research on various areas of digital transformation utilizing frontier and emerging technologies such as AI, Blockchain, Cybersecurity, IoT, Big Data, AR/VR and Cloud Computing.
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
No textbook required.
Policies:
- No refunds after: 1/20/2025
Schedule:
Instructor: Khosrow Khosravani
Khosrow “Koz” Khosravani has been involved in the field of Information Technology for over 3 decades. He started as a Software Engineer at Digital Equipment Corporation (later merged with Compaq) coding Vax-Macro assembly language for VAX mini-computer clusters. He then was involved with many firms as an IT consultant and trainer. His area of specialization includes software engineering, e-business security & back-end integration, distributed relational database management systems, wireless technologies, networking, web development, and distributed applications. He has trained hundreds of employees at major US firms such as Boeing and Raytheon in the areas of web development, online security, and software engineering as well as the integration with back-end systems such as Microsoft IIS web server, SQL server, site server, and the Biztalk server, utilizing Windows advanced server platform.
Koz is currently conducting research on various areas of digital transformation utilizing frontier and emerging technologies such as AI, Blockchain, Cybersecurity, IoT, Big Data, AR/VR and Cloud Computing.