Building Responsible | Ethical AI Systems-Risk of GEN AI

Focused View

Dan Andrei Bucureanu

2:47:41

444 View

1 - Introduction

1 - Introduction.mp4

02:07

2 - Asimovs 3 Laws of Robotics First regulation of AI.mp4

04:00

3 - What is GEN AI Used for.mp4

01:55

4 - Demo On AI Capabilities.mp4

04:23

5 - DEMO Why we need ethical and responsible AI Systems.mp4

04:49

6 - History of AI from 1950 to 2024.mp4

07:12

2 - Introduction to Generative AI a quick look under the hood

7 - What makes up AI.mp4

03:45

8 - Where do Large Language ModelsLLM fit into AI.mp4

01:48

9 - What are Tokens.mp4

02:38

10 - Natural Language Processing.mp4

04:52

11 - Types of Machine Learning.mp4

04:04

12 - Machine Learning Supervised ML.mp4

03:57

13 - Machine Learning Unsupervised ML.mp4

03:57

14 - Machine Learning Reinforced ML.mp4

03:16

15 - Neural Networks and Deep Learning.mp4

05:18

16 - What is a Large Language Model LLM.mp4

03:53

17 - Generative AI What it is.mp4

02:38

3 - Introduction to CHAT GPT

18 - What is CHAT GPT.mp4

03:05

19 - Chat GPT Features Bing Browsing.mp4

01:51

20 - Chat GPT Custom Plugins.mp4

01:36

21 - Chat GPT DALLE Image generation.mp4

01:24

22 - Chat GPT Feature Code Interpreter.mp4

02:58

23 - Chat GPT Build your own custom GPT.mp4

01:41

4 - Introduction to Google Gemini

24 - What is Google Gemini.mp4

02:31

25 - Access to Google Gemini.mp4

01:40

26 - Files and URL Manipulation.mp4

03:12

27 - Image Generation with Google Gemini.mp4

03:38

28 - Scan Youtube Videos.mp4

03:10

29 - Plot Charts and Graphs.mp4

02:58

5 - General Consensus on Regulating AI

30 - EU AI Regulation.mp4

03:48

30 - cellar-e0649735-a372-11eb-9585-01aa75ed71a1.0001.02-DOC-1.pdf

31 - Google Approach to Ethical AI.mp4

03:07

32 - Meta Approach to Ethical AI.mp4

03:11

33 - Microsoft Approach to Ethical AI.mp4

04:17

33 - Microsoft-Responsible-AI-Standard-v2-General-Requirements-0.pdf

6 - Risks associated with AI

34 - AI and Biases.mp4

05:12

35 - GEN AI and Privacy.mp4

04:05

36 - GEN AI and Intellectual Property.mp4

04:13

37 - DEMO CHAT GPT DALLE3 Watermark.mp4

02:53

38 - Hallucinations.mp4

04:29

39 - GEN AI and Fair Access to Information.mp4

03:39

40 - Gen AI and Misinformation or Disinformation.mp4

04:50

41 - OPENAICHAT GPT Moderation Service.mp4

05:38

42 - Google Moderation Service.mp4

04:16

43 - GEN AI and Deep Fake.mp4

06:29

44 - GEN AI and Manipulation.mp4

04:05

45 - Economic Impact of GEN AI.mp4

03:52

46 - Over Reliance on AI Content.mp4

02:22

7 - The end

47 - Artificial General Intelligence Skynet scenario.mp4

02:59

Description

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
Understand how training data impacts AI ethical aspects

Who is this for?

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

What You Need to Know?

No previous experience required

Motivation to lean the hottest skill in 2024

More details

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 vulnerabilitiesÂ 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 this course is for:
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

User Reviews

Rating

average 0

Total votes0

Focused display

Artificial Intelligence

Dan Andrei Bucureanu

Instructor's Courses

Dan is a passionate quality engineering architect, with more than 17 years in the field. He has helped numerous companies improve the way they look at quality and achieve the right balance of speed relative to product. Dan is a trainer on advanced quality engineering topics and a quality transformation consultant with experience in Automotive, Financial Services, Media, and E- commerce. Currently Dan is leading an software engineering department at a technology company. He possess multiple cloud and quality certifications and is also an auditor of quality engineering based on the TPI NEXT method.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.