Course Overview
In an increasingly AI-driven world, the need for Responsible AI practices has never been more critical. This intermediate-level course is designed for professionals across various sectors who wish to integrate ethical considerations into their AI projects and decision-making processes. 🌍🤖
- Target Audience:
- Technology and Data Science Professionals looking to enhance their projects with ethical frameworks. 💻
- Managers and Decision-Makers aiming to understand AI's societal implications for informed leadership. 🏢
- Researchers and Academics interested in the ethical, legal, and social dimensions of AI technologies. 📚
- Policy Makers and Regulatory Bodies focused on creating guidelines for responsible AI deployment across sectors. 📜
This course covers:
- Ethical Frameworks: Explore various ethical theories and their application in AI. ⚖️
- Bias and Fairness: Understand how AI systems can perpetuate bias and learn strategies for mitigation. ⚖️
- Accountability and Transparency: Discuss the importance of explainability in AI and strategies to enhance it. 🔍
- Societal Impact: Analyze the broader implications of AI on society, including privacy, security, and employment. 🌐
- Regulatory Landscape: Gain insights into current regulations and frameworks guiding responsible AI practices. 🏛️
By the end of this course, participants will be equipped with the knowledge and tools necessary to implement responsible AI practices within their organizations and contribute to the broader discourse on ethical AI development. Join us in shaping a future where technology serves humanity responsibly! 🌟
Course Features
Whom is this course for?
- Professionals working in technology, data science, or AI development who want to incorporate ethical considerations into their projects.
- Managers and decision-makers in organizations looking to understand the implications of AI on society and how to implement responsible AI practices.
- Researchers and academics interested in exploring the ethical, legal, and social implications of AI technologies.
- Policy makers and regulatory bodies seeking to develop frameworks and guidelines for the responsible use of AI in various sectors.
Course Modules
Detailed Syllabus
Class Schedule (IST)
Hi,
I have over three years of experience building AI systems. I have been working on developing AI-driven solutions across various domains, including natural language processing, computer vision, and generative AI. In addition to building AI models, I also teach concepts like machine learning, deep learning, responsible AI, and model monitoring. My current work spans developing GenAI solutions for business process management. I'm passionate about both applying AI to solve real-world problems and sharing this knowledge through lectures and workshops.
Highest Education
B.E
Mining Engineering
Completion year: 2020
Work Experience
Data Scientist
Hexaware Technologies
Total duration: 3 years
Teaching Experience
Artificial Intelligence
Total duration: 3 years