Algorithms Are Not Enough
Creating General Artificial Intelligence
Created by MIT Press, Herbert L. Roitblat
Explore how artificial intelligence has evolved by comparing human and machine intelligence. Gain insight into machine learning, neural networks, and the hurdles faced in building truly general AI. Discover the risks and future impact of superintelligent systems on society.
MIT Press | May 2026 | 344 min
What You Will Learn
You will build a solid foundation by comparing natural and artificial intelligence, then move into symbolic reasoning, machine learning, and neural networks. Real-world examples and case studies help clarify how these systems work and where they struggle. Complex ideas are broken down to help you connect theory with practical implications.
Key Features
- Examine how human and machine intelligence differ and where algorithms fall short
- Gain a practical understanding of machine learning and neural network approaches
- Analyze the challenges and risks of developing artificial general intelligence
Target Audience
Designed for those with a basic grasp of AI concepts, this content is ideal for students, researchers, and professionals in AI, cognitive science, or related fields. If you want to deepen your understanding of how AI works, its limitations, and the societal impact of advanced systems, you will find this material valuable.
