AURA Lesson 1
Please note there are 4 additional lessons in the Aware phase. This is the updated version of lesson 1.
Introduction to AI
Please note that phase 1, Aware, has many videos. Multiple videos are used because not all presenters appeal to all viewers. Pick and choose the ones that make sense to you!
Lesson 1: Independent study
Before you start, consider these questions and your answers.
·??????? What is your current level of understanding about AI? (e.g., beginner, intermediate, advanced)
·??????? What specific areas of AI are you most interested in learning about?
·??????? Do you have any concerns or fears about AI and its impact on society or your job?
·??????? What are your main goals for taking this training? What do you hope to achieve?
·??????? Do you have any experience with programming or data science? If so, in what capacity?
·??????? Are you familiar with any AI tools or applications currently used in your industry?
·??????? What are your thoughts on the ethical implications of AI?
·??????? How do you think AI might affect your specific role or industry in the coming years?
·??????? Are there any particular AI-related myths or misconceptions you'd like to explore or debunk?
·??????? Do you have any experience with machine learning algorithms or neural networks?
·??????? What sources do you currently use to stay informed about AI developments?
·??????? Are you more interested in the theoretical aspects of AI or its practical applications?
·??????? Have you ever worked with or implemented any AI solutions in your professional life?
·??????? What are your expectations for the pace and depth of this training program?
·??????? Are there any specific AI-related skills you're hoping to develop through this training?
- Components of Lesson 1 What is the “FUD†around AI today The History of AI What is AI? What do we mean by intelligence? How does AI differ from human intelligence?
- What is the FUD around AI today?
The topics listed here are addressed through Lessons 1-5. For an organization embraking on AI training, the first three are the ones that the majority of empooyes have considered, or hold as their opinion now.
§? Job displacement: There's worry that AI will automate many jobs, leading to widespread unemployment across various sectors.
§? Privacy and surveillance: Advanced AI systems may enable more pervasive monitoring and data collection, raising concerns about personal privacy.
§? Bias and discrimination: AI systems can perpetuate or amplify existing biases if not carefully designed and trained, potentially leading to unfair treatment of certain groups.
§? Safety and control: As AI systems become more advanced, there are concerns about maintaining human control and ensuring they remain aligned with human values.
§? Existential risk: Some worry about the potential for advanced AI to surpass human intelligence and potentially pose an existential threat to humanity.
§? Misinformation and manipulation: AI-generated content could be used to create convincing fake news, deepfakes, or other forms of misinformation.
§? Economic inequality: There are concerns that AI might exacerbate wealth inequality by concentrating economic benefits among a small group of tech companies and AI experts.
§? Ethical decision-making: Questions arise about how to program AI to make ethical decisions, especially in complex scenarios like autonomous vehicles.
§? Dependence on technology: As AI becomes more integrated into daily life, there are worries about over-reliance on these systems and potential vulnerabilities.
§? Lack of transparency: The "black box" nature of some AI systems makes it difficult to understand how they arrive at decisions, raising accountability concerns.
Self Paced Learning
- What is the FUD? Dispelling the ChatGPT Malware Myth by Valhalla Dev Security for LLMs by The De-FUD Podcast
o?? Kingdoms of Amalur Guide to dispelling chests. by TDKPyrostasis
领英推è
- The Future of AI in Tech Jobs: Debunking Myths and Embracing Change by STARTUP HAKK
- Dispelling the Myths of Nuclear Energy (Live Lecture) by Illinois EnergyProf
- Let’s begin with the History of AI
o?? A brief history of AI by Plattform Lernende Systeme
o?? The History of AI: From Beginnings to Breakthroughs by Mr. Singularity
o?? The History of Artificial Intelligence [Documentary] by Futurology – An Optimistic Future
o?? History of AI | VOANews by Voice of America
o?? history of the entire AI field, i guess by bycloud
·??????? What is the impact of AI on jobs today?
o?? The Impact of A.I. on Jobs | Rutika Muchhala | TEDxDSBInternationalSchool https://www.youtube.com/watch?v=_U2YobRC8OY
·??????? What is AI?
·? What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn by Simplilearn
·? What is AI? - AI Basics by LearnFree
·? What is AI? by Museum of Science
·? What Is AI? This Is How ChatGPT Works | AI Explained by howtoai
·??????? What do we mean by intelligence
- What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn by Simplilearn
- AI vs Machine Learning by IBM Technology
- What is Artificial Intelligence? | Artificial Intelligence In 5 Minutes | AI Explained | Simplilearn by Simplilearn
- Artificial Intelligence In 10 Minutes | What Is Artificial Intelligence?| AI Explained | Simplilearn by Simplilearn
- The History of AI: From Beginnings to Breakthroughs by Mr. Singularity
- The difference between AI and Human Intelligence Artificial Intelligence vs. Augmented Intelligence by IBM Technology 10 differences between artificial intelligence and human intelligence by Sabine Hossenfelder AI vs human intelligence: the TRUTH about AI! by Jelvix | TECH IN 5 MINUTES Difference Between Human Intelligence And Artificial Intelligence?-Class Series by Class Series Why AI will never replace humans | Alexandr Wang | TEDxBerkeley by TEDx Talks
- How can AI augment what you do?
o?? Trust, Transparency & AI | William Lobig | Cognizant by Cognizant
o?? How will AI change the world? by TED-Ed
o?? AI and Human Augmentation: Enhancing Our Capabilities | Artificial Intelligence | AI by The Intelligent Web
Lesson 1: A History of AI in person
·??????? Brief History of Artificial Intelligence
o?? Artificial intelligence (AI) is a field of computer science that has fascinated researchers and the general public alike for decades. The quest to create intelligent machines capable of performing human-like tasks has a rich history spanning centuries. Let's explore a brief overview of the key milestones and developments in the history of AI.
·??????? The Origins of AI
o?? The concept of artificial intelligence can be traced back to ancient Greek mythology, where tales of human-made intelligent beings, such as Hephaestus's robots, were told. However, the modern field of AI began to take shape in the 1950s, when computer scientists and mathematicians started to seriously explore the possibility of creating machines that could "think" and "learn."
·??????? The Pioneering Years (1950s-1960s)
o?? In 1956, a group of researchers, including John McCarthy, Marvin Minsky, Allen Newell, and Herbert Simon, organized the Dartmouth Conference, which is widely regarded as the birthplace of AI as a field of study. During this time, early AI systems were developed, such as the Logic Theorist, which could prove mathematical theorems, and the General Problem Solver, which could find solutions to a variety of problems.
·??????? The AI Winter (1970s-1980s)
o?? Despite the initial excitement and enthusiasm, the 1970s and 1980s saw a period of disillusionment and funding cuts for AI research, known as the "AI winter." This was due to a number of factors, including the inability of early AI systems to live up to the high expectations, as well as the realization that the task of creating truly intelligent machines was much more complex than initially thought.
·??????? The AI Resurgence (1990s-2000s)
o?? In the 1990s and 2000s, AI experienced a resurgence, fueled by advancements in computing power, the availability of large datasets, and the development of new techniques such as machine learning and deep learning. This led to significant breakthroughs in areas like natural language processing, computer vision, and game-playing AI systems.
·??????? The Modern Era of AI (2010s-present)
o?? In the current decade, AI has become increasingly integrated into our daily lives, with applications ranging from virtual assistants and autonomous vehicles to medical diagnosis and financial decision-making. The rapid progress in AI has also raised important ethical and societal questions, leading to ongoing discussions about the responsible development and deployment of these technologies.
·??????? Conclusion
o?? The history of AI is a story of human ingenuity, perseverance, and the constant pursuit of understanding the nature of intelligence. From the early pioneers to the cutting-edge researchers of today, the field of AI has evolved and continues to shape the way we interact with technology and solve complex problems. As we look to the future, the possibilities for AI seem limitless, and the impact it will have on our lives and society is sure to be profound.