The End Of Knowledge - Vault 6/40 - CVPR - 2018 - Intelligible Intelligence & Beneficial Intelligence

graph LR classDef progress fill:#f9d4d4, font-weight:bold, font-size:14px classDef safety fill:#d4f9d4, font-weight:bold, font-size:14px classDef technical fill:#d4d4f9, font-weight:bold, font-size:14px classDef ethical fill:#f9f9d4, font-weight:bold, font-size:14px classDef future fill:#f9d4f9, font-weight:bold, font-size:14px Main[Intelligible Intelligence &
Beneficial Intelligence] Main --> A[AI progress: robotics,
self-driving, recognition, games 1] A --> B[AGI: human-level intelligence
across all tasks 2] B --> C[Intelligence explosion leading
to superintelligence 3] Main --> D[AI Safety Concerns] D --> E[AI safety research
crucial for trustworthy systems 4] D --> F[Value alignment: AI
adopting human goals 5] D --> G[AI safety grants
promote beneficial development 6] D --> H[Intelligible intelligence: understandable,
trustworthy AI 7] Main --> I[Technical Approaches] I --> J[Physics-inspired AI improves
interpretability 8] I --> K[Deep learning theorem:
efficiency of neural networks 9] K --> L[No free lunch
theorem: neural network limitations 10] I --> M[AI simplification techniques 11] I --> N[AI physicist: discovering
physics laws 12] N --> O[Minimum description length
for model simplification 13] N --> P[Continued fraction expansion
rationalizes parameters 14] I --> Q[Hybrid AI: combining
traditional and ML methods 25] I --> R[Automated theory discovery 27] Main --> S[Ethical and Social Considerations] S --> T[AI-driven income inequality 15] S --> U[Lethal autonomous weapons
development ban 16] U --> V[Arguments against autonomous
weapons addressed 17] U --> W[Tech companies pledge
against autonomous weapons 18] S --> X[AI ethics: safety,
fairness, transparency 28] Main --> Y[Future Directions] Y --> Z[Short-term priorities: weapons
ban, wealth distribution 19] Y --> AA[Long-term AI safety
research importance 20] Y --> AB[Optimistic AI future
empowering humanity 21] Y --> AC[AI safety conferences
discuss beneficial development 22] Y --> AD[Asilomar AI Principles:
23 beneficial AI guidelines 23] Y --> AE[AI progress visualization 24] Y --> AF[AI in physics
research improvements 26] Y --> AG[AI policy: government
and organizational role 29] Y --> AH[Proactive AI development
addressing potential challenges 30] class A,B,C progress class D,E,F,G,H safety class I,J,K,L,M,N,O,P,Q,R technical class S,T,U,V,W,X ethical class Y,Z,AA,AB,AC,AD,AE,AF,AG,AH future

Resume:

1.- AI progress: Recent AI advancements include improved robotics, self-driving cars, face recognition, and game-playing abilities like AlphaZero.

2.- AGI definition: Artificial General Intelligence (AGI) is AI that can match human intelligence across all tasks.

3.- Intelligence explosion: Rapidly self-improving AI could lead to superintelligence, far surpassing human capabilities.

4.- AI safety research: Investment in AI safety is crucial to ensure robust, trustworthy systems as AI becomes more prevalent in decision-making and infrastructure.

5.- Value alignment: Ensuring AI systems understand, adopt, and retain human goals is essential to prevent unintended consequences.

6.- AI safety grants: The Future of Life Institute awarded grants to promote beneficial AI research and development.

7.- Intelligible intelligence: AI systems that are not only functional but also understandable and trustworthy.

8.- Physics-inspired AI: Using concepts from physics to improve machine learning and develop more interpretable AI models.

9.- Deep learning theorem: Proof showing why deep neural networks are more efficient than shallow ones for certain tasks.

10.- No free lunch theorem: Despite limitations, neural networks can solve most problems relevant to our physical universe.

11.- AI simplification: Techniques to transform complex, black-box AI systems into simpler, more interpretable algorithms.

12.- AI physicist: Research on training neural networks to discover and distill laws of physics from observed data.

13.- Minimum description length: A principle for finding the simplest explanations for data, applied to AI model simplification.

14.- Continued fraction expansion: A technique used to simplify and rationalize parameters in AI models.

15.- AI-driven income inequality: The importance of ensuring economic benefits from AI are shared fairly across society.

16.- Lethal autonomous weapons: Efforts to ban the development and use of AI-powered weapons that can select and engage targets without human intervention.

17.- Arguments against autonomous weapons: Addressing common objections to banning lethal autonomous weapons, including ethical and practical concerns.

18.- Tech company pledge: 160 companies and organizations pledging not to develop or support lethal autonomous weapons.

19.- Short-term AI priorities: Banning lethal autonomous weapons and addressing wealth distribution from AI advancements.

20.- Long-term AI safety: Importance of research to ensure beneficial outcomes if AGI is developed.

21.- Optimistic AI future: Potential for AI to empower humanity rather than overpower it.

22.- AI safety conferences: Organizing events to bring together AI leaders and thinkers to discuss beneficial AI development.

23.- Asilomar AI Principles: 23 guidelines for the development of beneficial AI, signed by over 1000 AI researchers.

24.- AI progress visualization: Conceptualizing AI advancement as rising water levels in a landscape of tasks.

25.- Hybrid AI approach: Combining traditional AI methods with machine learning for more interpretable and provable systems.

26.- AI in physics: Using AI to improve physics research and vice versa.

27.- Automated theory discovery: Developing AI systems that can autonomously discover and formulate scientific theories.

28.- AI ethics: Addressing ethical concerns in AI development, including safety, fairness, and transparency.

29.- AI policy: The role of governments and organizations in regulating and guiding AI development.

30.- Proactive AI development: Emphasizing the importance of anticipating and addressing potential AI challenges before they arise.

Knowledge Vault built byDavid Vivancos 2024