Learning Objectives
Master the complete development history of AI, including core origins, key conferences, milestone events and two AI winter periods
Identify classic AI programs, landmark systems and representative generative AI tools accurately
Understand the core driving forces of the deep learning revolution and key ethical issues in modern AI
Grasp basic fundamentals of sound and audio principles through guided learning materials
Complete the presentation in grou
(5 min) Warm-up & AI Origin Preview
Show 3 classic AI images (Turing Machine, Dartmouth Conference, modern robot) to activate interest
Briefly introduce 2 core origins: philosophical ideas + Alan Turing’s foundational contributions
Birth of AI & Early Development (1950s–1960s)
Explain the 1956 Dartmouth Conference: the official birth of AI
Introduce 2 early classic AI programs: Logic Theorist & ELIZA
Mention the first AI winter in 1–2 sentences (technical limitations + funding cuts)
Knowledge Era & Machine Learning Rise (1970s–2000s)
Briefly describe expert systems (core of 1970s–1980s AI)
Explain the second AI winter (high costs + hardware failure)
Highlight key milestone: 1997 IBM Deep Blue beats chess champion
Deep Learning Revolution (2010s)
Introduce 2012 AlexNet: the start of the deep learning boom
Explain 2016 AlphaGo: breakthrough in complex intelligent decision-making
List 3 driving forces: big data, GPU computing power, advanced algorithms
Modern Generative AI & Future Ethics
Show typical generative AI tools (ChatGPT, DALL-E) and their real-world uses
Briefly explain 3 key ethical issues: bias, privacy, misinformation
Lead a 1-minute quick discussion: responsible AI development
Fundamentals of Sound and Audio
Open the ppt: https://open.maic.chat/classroom/R7kBe9txTi
Activity 1 Finish the presentation for the STEAM project
Demonstrate the poster and the PPT，give the presentation for group project.