AI Ethics
Et Tu Code
AI Ethics: A Comprehensive Guide to AI Ethics" is a thorough exploration of the ethical implications of artificial intelligence.
This book covers the fundamental principles, challenges, and best practices for ensuring that AI systems are developed...
Location:
United States
Description:
AI Ethics: A Comprehensive Guide to AI Ethics" is a thorough exploration of the ethical implications of artificial intelligence. This book covers the fundamental principles, challenges, and best practices for ensuring that AI systems are developed and used responsibly. Dive into discussions on fairness, transparency, accountability, privacy, and bias in AI decision-making processes. Learn how to address the consequences of AI-driven automation, job displacement, and social inequality. Understand the importance of human oversight, ethics by design, and continuous evaluation in the development and deployment of AI systems. Get a comprehensive overview of the key issues and debates surrounding AI ethics, making this book an essential resource for anyone interested in the intersection of technology and society. Duration - 8h 21m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Saturday, 03 January 2026. Copyright - © 2025 Et Tu Code ©.
Language:
English
Opening Credits
Duration:00:02:09
Preface
Duration:00:03:31
Frequently asked questions
Duration:00:04:48
Ibm ai ethics model best practices for responsible ai accountability and explainability
Duration:00:03:36
Principles for building ethical ai
Duration:00:03:37
Introduction to ethical intelligence
Duration:00:03:43
Unethical ai uses by humans ai facilitated surveillance and data collection
Duration:00:03:46
Limitations of ai hallucinations and other challenges in large language models hallucination types
Duration:00:03:51
Principle 5 continuous learning and improvement
Duration:00:03:54
Unethical ai uses by humans ai generated disinformation and manipulation
Duration:00:03:54
Principle 2 fairness in algorithmic decision making
Duration:00:03:59
Principle 4 human centered design and control
Duration:00:04:02
Introduction to ai created avatars the evolution of ai generated characters
Duration:00:04:05
Fairness & bias in ai
Duration:00:04:06
Advertising pitfalls in ai tools
Duration:00:04:06
Principle 1 transparency in data generation
Duration:00:04:08
Principle 4 human centered design and control the importance of human centered design
Duration:00:04:08
Introduction to deepfakes
Duration:00:04:09
Introduction to deepfakes the biggest potential problem fake videos
Duration:00:04:10
Ibm ai ethics model best practices for responsible ai fairness and transparency
Duration:00:04:12
Generative ai (genai) an overview
Duration:00:04:13
Principle 2 fairness in algorithmic decision making what is fairness in ai
Duration:00:04:14
Advertising pitfalls in ai tools misleading targeting and segmentation
Duration:00:04:14
Mitigating ai risks human oversight
Duration:00:04:16
Unethical ai uses by humans biased algorithmic decision making
Duration:00:04:21
Limitations of ai hallucinations and other challenges in large language models
Duration:00:04:22
Limitations of ai hallucinations and other challenges in large language models consequences of hallucinations
Duration:00:04:24
Generative ai (genai) an overview what is genai
Duration:00:04:25
Copyright concerns with ai generated content defining ai generated content the role of creativity
Duration:00:04:26
Ai's impact on jobs upskilling and reskilling for the ai era
Duration:00:04:27
The ethical concerns surrounding genai genai and privacy
Duration:00:04:27
Principles for building ethical ai transparency in ai systems
Duration:00:04:28
Introduction to information privacy in an ai world
Duration:00:04:28
Introduction to ai created avatars ai created avatars in entertainment and media
Duration:00:04:30
Principle 1 transparency in data generation data provenance and bias
Duration:00:04:32
Copyright concerns with ai generated content the fair use doctrine a safe harbor for ai generated works
Duration:00:04:32
Introduction to ai created avatars
Duration:00:04:33
Challenges to information privacy in an ai world the role of data brokers in information privacy
Duration:00:04:33
Advertising pitfalls in ai tools data privacy and protection concerns
Duration:00:04:33
The salesforce ai ethical maturity model
Duration:00:04:35
Principle 3 explainability and accountability the importance of explainable ai
Duration:00:04:36
Mitigating ai risks informed consent transparency in ai decision making
Duration:00:04:37
Transparency and explainability the black box problem challenges and limitations
Duration:00:04:38
Challenges to information privacy in an ai world
Duration:00:04:40
Mitigating ai risks informed consent user education and awareness
Duration:00:04:40
Challenges and best practices for building ethical ai data quality and bias
Duration:00:04:41
Advertising pitfalls in ai tools unintended consequences of personalization
Duration:00:04:42
Generative ai (genai) an overview applications of genai
Duration:00:04:42
Unethical ai uses by humans
Duration:00:04:43
The salesforce ai ethical maturity model understanding the model components
Duration:00:04:43
Challenges and best practices for building ethical ai model validation and testing
Duration:00:04:44
Advertising pitfalls in ai tools biased content generation
Duration:00:04:47
Ai's impact on jobs
Duration:00:04:47
Ai's impact on jobs new job opportunities the emergence of ai related roles
Duration:00:04:47
Copyright concerns with ai generated content copyright infringement the consequences of unintended plagiarism
Duration:00:04:49
Introduction to information privacy in an ai world data breaches and their consequences
Duration:00:04:51
Fairness & bias in ai mitigating bias strategies and best practices
Duration:00:04:55
Principle 3 explainability and accountability methods for ensuring explainability and accountability
Duration:00:04:55
Transparency and explainability
Duration:00:04:56
The ethical concerns surrounding genai bias in genai models
Duration:00:04:57
Mitigating ai risks informed consent
Duration:00:04:58
Challenges to information privacy in an ai world ai generated content and the spread of disinformation
Duration:00:04:59
Principles for building ethical ai fairness in ai decision making
Duration:00:05:00
Real world applications of responsible ai
Duration:00:05:01
Fairness & bias in ai ensuring ethical outcomes case studies and examples
Duration:00:05:01
Real world applications of responsible ai healthcare personalized medicine
Duration:00:05:02
Real world applications of responsible ai finance risk management
Duration:00:05:03
Limitations of ai hallucinations and other challenges in large language models addressing hallucination challenges
Duration:00:05:05
Ibm ai ethics model best practices for responsible ai
Duration:00:05:06
Fairness & bias in ai detecting bias techniques and tools
Duration:00:05:07
Introduction to ethical intelligence what is ethical intelligence
Duration:00:05:07
Regulatory frameworks and governance
Duration:00:05:09
Principle 1 transparency in data generation methods for ensuring data transparency
Duration:00:05:13
Principle 4 human centered design and control strategies for implementing human centered design
Duration:00:05:13
Transparency and explainability transparency techniques and strategies
Duration:00:05:15
Principle 2 fairness in algorithmic decision making challenges in ensuring algorithmic fairness
Duration:00:05:16
Introduction to ethical intelligence why ai needs ethical intelligence
Duration:00:05:17
Mitigating ai risks human oversight human oversight mechanisms
Duration:00:05:19
Ai's impact on jobs societal impact reimagining work life balance and social dynamics
Duration:00:05:24
Principle 5 continuous learning and improvement the importance of ongoing monitoring and adaptation
Duration:00:05:29
Solutions for ensuring information privacy in an ai world implementing effective data protection mechanisms
Duration:00:05:33
Will ai created avatars replace human roles
Duration:00:05:34
The ethical concerns surrounding genai
Duration:00:05:36
Mitigating ai risks human oversight design principles for human centered ai systems
Duration:00:05:37
Introduction to deepfakes how to spot deepfakes
Duration:00:05:38
Introduction to information privacy in an ai world data protection laws and regulations
Duration:00:05:40
Introduction to ai ethics what is ai ethics
Duration:00:05:41
Introduction to ai created avatars the future of human avatar interactions
Duration:00:05:42
Ai's impact on jobs the rise of automation job displacement risks
Duration:00:05:46
Copyright concerns with ai generated content
Duration:00:05:48
Challenges and best practices for building ethical ai
Duration:00:06:00
Introduction to ai ethics why ai ethics matters
Duration:00:06:10
Solutions for ensuring information privacy in an ai world designing privacy friendly ai systems
Duration:00:06:18
The salesforce ai ethical maturity model applying the model in practice
Duration:00:06:20
Principle 3 explainability and accountability
Duration:00:06:29
Regulatory frameworks and governance proposed frameworks for genai governance
Duration:00:06:29
Fairness & bias in ai understanding biases types and origins
Duration:00:06:36
Solutions for ensuring information privacy in an ai world
Duration:00:06:38
Principle 5 continuous learning and improvement methods for ensuring continuous learning and improvement
Duration:00:06:39
Regulatory frameworks and governance existing regulations and initiatives
Duration:00:07:19
Glossary
Duration:00:08:56
Ending Credits
Duration:00:01:58