Responsible/Ethical Ai Systems-Risk Associated With Gen Ai

Published 3/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.16 GB | Duration: 2h 48m

Understand the risks associated with AI and how to navigate the ethical side when creating Generative AI Systems

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 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.

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

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