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Contributing authors (alphabetical): Amal Alabdulkarim, Louis Castricato, Siyan Li, and Xiangyu Peng.

January 4, 2021

This is an article from Popular Mechanics in 1931.

I research (among other things) automated story generation. I have not taught my course on AI storytelling in a number of years. I have put this primer together as a resource that I think my students need to know to get started on research on automated story generation. Anyone interested in the topic of automated story generation may find it informative. …


The following is a collection of thoughts that I put together on the topic of AI democratization. Some of the points below were quoted in an article by OneZero, an online technology reporting outfit: https://onezero.medium.com/gpt-3-is-an-amazing-research-tool-openai-isnt-sharing-the-code-d048ba39bbfd

To me, AI democratization means making it possible for everyone to create artificial intelligence systems. This involves

  1. Having access to powerful AI models
  2. Having access to algorithms
  3. Having access to computing resources necessary to use algorithms and models
  4. Being able to use the algorithms and models, potentially without requiring advanced mathematical and computing science skills

For the purposes of this piece, I focus primarily on…


On Friday, December 28th Netflix aired a special episode of their Black Mirror series called Bandersnatch. What made Bandersnatch interesting is that it was an interactive story: watchers could use a remote control to choose options at various points throughout the story’s progression to influence character choice and plot progression.

(This post does not contain Bandersnatch spoilers.)

Watchers of Bandersnatch must make decisions that may or may not affect the future progression of the plot.

Bandersnatch is a choose your own adventure style interactive narrative. The mode of interaction — choosing from prescribed options at critical junctions — is the same mode of interaction used in Choose Your Own Adventure books from the 1980s. The same mode of…


On November 11, 2018, regulators in the US announced a review of export controls across a range of emerging technologies. The list includes artificial intelligence and machine learning, as well as technologies that would make substantial use of AI and ML such as robotics and brain-computer interfaces, and enabling technologies such as microprocessor technology and quantum computing. This could make the US the first nation to explicitly attempt to control the spread of these technologies.

The US government has always had the responsibility of balancing economic prosperity and growth against public safety threats. Private sector companies such as Google, Apple…


Computational creativity is the art, science, philosophy and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviors that unbiased observers would deem to be creative.

Machine learning (ML) has shown promise for many creative tasks such as music generation, image and painting generation, image style transfer, etc. In particular it has shown great success on creative tasks with large datasets. Computational creativity techniques that use machine learning train on a corpus of existing examples and learn a function that can be used to approximate the examples. While modern ML approaches have shown some ability to generalize, they…


This post is based on the keynote talk I gave at the 10th Workshop on Intelligent Narrative Technologies. The slides are here. In the talk, I presented a history of the workshop series, but this post will focus on broader themes.

Introduction

Storytelling is an important part of how we, as humans, communicate, entertain, and teach each other. We tell stories dozens of times a day: around the dinner table to share experiences; through fables to teach values; through journalism to communicate important events, and in entertainment movies, novels, and computer games for fun. …


(The following is adapted from a paper by Lara Martin and Brent Harrison, Improvisational Computational Storytelling in Open Worlds, presented at the 2016 International Conference on Interactive Digital Storytelling.)

Introduction

Storytelling has been of interest to artificial intelligence researchers since the earliest days of the field. Artificial intelligence research has addressed story understanding, automated story generation, and the creation of real-time interactive narrative experiences. Specifically, interactive narrative is a form of digital interactive experience in which users create or influence a dramatic storyline through actions by assuming the role of a character in a fictional virtual world, issuing commands to computer-controlled…


The term Human-Centered Artificial Intelligence is a recognition that the future is increasingly putting humans in contact with artificial intelligences.

At the heart of human-centered AI is the recognition that the way AI systems solve problems — especially using machine learning — is fundamentally alien to humans without training in computer science or AI. When consumer-facing AI systems are significantly more sophisticated than Siri, Alexa, or Cortana, what will it take for my mother to feel comfortable using these systems? Human-centered AI is also a recognition that humans can be inscrutable to AI systems. …


Updated: link to IJCAI’17 paper

Automated understanding, also known as common sense learning or hypothesis generation, is the problem of taking a sequence of events, building some model that explains the events, and using the model to predict future events or answer questions about the sequence of events.

We introduce a new automated understanding problem: Automated Game Understanding, in which an artificial intelligence system learns knowledge about video game systems for the purposes of game play, design, or critique. We define Automatic Game Understanding as the problem of developing formalized, complete models of the underlying processes in games.

Forms of…


1. Growing Pains as AI Enters a New Golden Age

Artificial intelligence is entering what many believe to be a new Golden Age. Machine Learning techniques, specifically Deep Artificial Neural Networks, has left the university research labs and entered the “real world.” Google acquired DeepMind for $500 million in 2014. Elon Musk, Sam Altman, and others pledged $1 billion to start the non-profit OpenAI in 2015. In 2017, Ford invested $1 billion in AI startup, Argo AI. Microsoft organized an AI lab with 5,000+ employees. Facebook started an AI Research lab. IBM is betting big that they can monetize their Watson platform. …

Mark Riedl

AI for storytelling, games, explainability, safety, ethics. Assoc. Professor @GeorgiaTech . Associate Director @MLatGT . Time travel expert. Geek. Dad. he/him

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