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Artificial Intelligence Wiki
Topics
Accuracy and Loss
Activation Function
AI Chips for Training and Inference
Artifacts
Artificial General Intelligence (AGI)
AUC (Area under the ROC Curve)
Automated Machine Learning (AutoML)
CI/CD for Machine Learning
Comparison of ML Frameworks
Confusion Matrix
Containers
Convergence
Convolutional Neural Network (CNN)
Datasets and Machine Learning
Data Science vs Machine Learning vs Deep Learning
Distributed Training (TensorFlow, MPI, & Horovod)
Generative Adversarial Network (GAN)
Epochs, Batch Size, & Iterations
ETL
Features, Feature Engineering, & Feature Stores
Gradient Boosting
Gradient Descent
Hyperparameter Optimization
Interpretability
Jupyter Notebooks
Kubernetes
Linear Regression
Logistic Regression
Long Short-Term Memory (LSTM)
Machine Learning Operations (MLOps)
Managing Machine Learning Models
ML Showcase
Metrics in Machine Learning
Machine Learning Models Explained
Model Deployment (Inference)
Model Drift & Decay
Model Training
MNIST
Overfitting vs Underfitting
Random Forest
Recurrent Neural Network (RNN)
Reproducibility in Machine Learning
REST and gRPC
Serverless ML: FaaS and Lambda
Synthetic Data
Structured vs Unstructured Data
Supervised, Unsupervised, & Reinforcement Learning
TensorBoard
Tensor Processing Unit (TPU)
Transfer Learning
Weights and Biases
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Artificial General Intelligence (AGI)

What is Artificial General Intelligence?

The form of AI that exists today is considered narrow AI. It is adept at solving specific tasks limited to specific domains but it cannot be extended to perform tasks in other domains easily (see Transfer Learning).
In contrast, Artificial General Intelligence represents an advanced version of AI capable of performing general tasks often associated with human intelligence. This requires a combination of flexible "thinking" and adaptability -- it also requires the ability to reason and the concept of memory.

Does AGI Exist Today?

AGI does not exist yet. Today it is merely a field of study and a popular topic in science fiction. Many experts believe we are a decade or so away from AGI assuming current investment does not dissipate. In terms of research trajectories, many believe that Reinforcement Learning is a viable path towards AGI. There are several organizations that are actively working to "solve" AGI such as OpenAI and DeepMind.

Impact on society

AI has already made a tremendous impact on society. Yet AI remains constrained in such a way that the need for human labor is still necessary even in fields with a high degree of automation and AI. Overall, the number of jobs has actually increased in many industries impacted by AI. This is due in part to a phenomenon called the Automation Paradox. Here's a great snippet from the Atlantic on the rise of AI in the legal industry:
Take the legal industry as an example. Computers are taking over some of the work of lawyers and paralegals, and they’re doing a better job of it. For over a decade, computers have been used to sort through corporate documents to find those that are relevant to lawsuits. This process — called “discovery” in the profession — can run up millions of dollars in legal bills, but electronic methods can erase the vast majority of those costs. Moreover, the computers are often more accurate than humans: In one study, software correctly found 95 percent of the relevant documents, while humans identified only 51 percent."
Many believe that AGI will have a much greater impact than the impact of the form of narrow AI we have today. If AGI truly does render human labor obsolete the impact would be profound—with vast societal ramifications. Rising fears of massive unemployment have led to the discussion of Universal Basic Income (UBI) which would provide regular payments to everyone in society. It is important to note that there are many positive potential outcomes and that these types of fears are often misplaced. Several predictions of the impact of automation and AI that exist today have been proven false (eg the legal discovery example above). Societal shifts at this scale are endlessly complex, often counter-intuitive, and generally difficult to theorize.
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What is Artificial General Intelligence?
Does AGI Exist Today?
Impact on society