Safe, accountable AI in the Blockchain!
by saferAI

pip install aKountable

First, say STOP! to people cheating on AI audits.

Start getting Tierion credentials for free. You will need a username, password and api keys. This is what we use to talk with the Blockchain.

Create a Keras model and an aKountable object

model = Sequential()
model.add(Dense(512, activation='relu', input_shape=(784,)))
model.add(Dropout(0.2))
model.add(Dense(512, activation='relu'))
model.add(Dropout(0.2))
model.add(Dense(10, activation='softmax'))

aK = aKountable(model, username, password, api_key)
aK.model.summary()
aK.model.compile(loss='categorical_crossentropy',
                 optimizer=RMSprop(),
                 metrics=['accuracy'])

Train your model to solve hard AI problems

history = aK.model.fit(x_train, y_train,
                       batch_size=batch_size,
                       epochs=epochs,
                       verbose=1,
                       validation_data=(x_test, y_test))

Stamp your model using the Blockchain and get a receipt

aK.stamp()
aK.receipt()

Be aKountable!

aK.validate()

If successful, get yourself saferAI aKountable badge! See full example [here]('https://github.com/safer41/aKountable/tree/master/examples/Hello\ World\ Peace!.ipynb').

CisD

• Add functionality to save aKountable receipt together with Keras model
• Use logging instead of print.
• Extend aKountable. For all AI, Machine Learning and Neural Network library, add model description AND model weights to a hash and use an API that can talk with the Blockchain.
• aKountable as a Service: aKaaS
• Work with regulators to make bring aKountable and safer AI to everyone.