ResponsibleEthical Ai Systems-Risk Associated With Gen Ai

What you'll 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
Requirements
No previous experience required
Motivation to lean the hottest skill in 2024
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 AIemystifying 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.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Asimov's 3 Laws of Robotics - First regulation of AI
Lecture 3 What is GEN AI Used for
Lecture 4 Demo On AI Capabilities
Lecture 5 DEMO - Why we need ethical and responsible AI Systems
Lecture 6 History of AI from 1950 to 2024
Section 2: Introduction to Generative AI - a quick look under the hood.
Lecture 7 What makes up AI
Lecture 8 Where do Large Language Models(LLM) fit into AI
Lecture 9 What are Tokens
Lecture 10 Natural Language Processing
Lecture 11 Types of Machine Learning
Lecture 12 Machine Learning - Supervised ML
Lecture 13 Machine Learning - Unsupervised ML
Lecture 14 Machine Learning - Reinforced ML
Lecture 15 Neural Networks and Deep Learning
Lecture 16 What is a Large Language Model - LLM
Lecture 17 Generative AI - What it is
Section 3: Introduction to CHAT GPT
Lecture 18 What is CHAT GPT
Lecture 19 Chat GPT - Features - Bing Browsing
Lecture 20 Chat GPT - Custom Plugins
Lecture 21 Chat GPT - DALL-E Image generation
Lecture 22 Chat GPT - Feature - Code Interpreter
Lecture 23 Chat GPT - Build your own custom GPT
Section 4: Introduction to Google Gemini
Lecture 24 What is Google Gemini
Lecture 25 Access to Google Gemini
Lecture 26 Files and URL Manipulation
Lecture 27 Image Generation with Google Gemini
Lecture 28 Scan Youtube Videos
Lecture 29 Plot Charts and Graphs
Section 5: General Consensus on Regulating AI
Lecture 30 EU AI Regulation
Lecture 31 Google Approach to Ethical AI
Lecture 32 Meta Approach to Ethical AI
Lecture 33 Microsoft Approach to Ethical AI
Section 6: Risks associated with AI
Lecture 34 AI and Biases
Lecture 35 GEN AI and Privacy
Lecture 36 GEN AI and Intellectual Property
Lecture 37 DEMO - CHAT GPT DALLE-3 Watermark
Lecture 38 Hallucinations
Lecture 39 GEN AI and Fair Access to Information
Lecture 40 Gen AI and Misinformation or Disinformation
Lecture 41 OPENAI-CHAT GPT Moderation Service
Lecture 42 Google Moderation Service
Lecture 43 GEN AI and Deep Fake
Lecture 44 GEN AI and Manipulation
Lecture 45 Economic Impact of GEN AI
Lecture 46 Over Reliance on AI Content
Section 7: The end
Lecture 47 Artificial General Intelligence - Skynet scenario
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

Homepage