Building Responsible | Ethical AI Systems-Risk of GEN AI
Understand the risks associated with AI and how to navigate the ethical side when creating Generative AI Systems
Ratings 4.55 / 5.00
What You Will Learn!
- Introduction to Artificial Intelligence
- Learn the main capabilities of Chat GPT
- Lean the main capabilities of Google Gemini
- See real life examples where generative AI has biases
- Ethical Considerations for Generative AI
- Properties of Responsible AI Systems
- General consideration on Ethical AI
- Risk associated with AI systems
- Understand how training data impacts AI ethical aspects
Description
This course delves into the exciting world of Artificial Intelligence (AI) while fostering a critical understanding of its potential risks and ethical implications.
Course Objectives:
Gain a foundational understanding of Artificial Intelligence (AI) concepts and applications.
Explore the capabilities of large language models like ChatGPT and Google Gemini, learning about their functionalities and limitations.
Identify and critically analyze the risks associated with AI development and deployment, such as bias, security vulnerabilities, and societal impact.
Develop a framework for responsible AI practices, emphasizing ethical considerations and mitigation strategies.
Course Content:
Introduction to AI:
Demystifying core AI concepts like machine learning, deep learning, and natural language processing.
Understanding the impact of AI across various industries.
Unveiling Large Language Models (LLMs):
Exploring the functionalities of ChatGPT and Google Gemini, including text generation, translation, and code writing.
Discussing the applications and limitations of LLMs in different scenarios.
Navigating the Risks of AI:
Identifying potential biases present in AI algorithms and their downstream effects.
Examining security vulnerabilities and data privacy concerns.
Analyzing the broader societal implications of AI, including job displacement and ethical dilemmas.
Building Responsible AI:
Exploring strategies to mitigate risks and promote fairness, transparency, and accountability in AI systems.
This course is ideal for:
Individuals with a general interest in AI and its potential.
Professionals seeking to understand the risks and ethical considerations surrounding AI.
Developers and programmers who want to incorporate responsible AI practices into their work.
By the end of this course, you will be equipped with the knowledge and critical thinking skills to navigate the evolving landscape of AI responsibly.
Who Should Attend!
- Any person that want to have basic understanding of AI
- Anyone that uses AI or is assisted by AI systems
- Professionals involved in the creation of AI systems