avatarJair Ribeiro

Summary

The web content discusses the integration of Artificial Intelligence (AI) with human creativity, highlighting various projects and initiatives that demonstrate AI's potential in creative fields, from chip design to legal paperwork, music, coding, gaming, journalism, and drug discovery.

Abstract

The article provides an overview of the burgeoning field of Creative AI, where AI systems are not only executing complex tasks but also venturing into creative domains traditionally reserved for humans. It underscores the exponential increase in AI and Machine Learning capabilities, particularly in generating novel outputs in partnership with human ingenuity. The text cites numerous examples of AI's creative applications, such as Google's AI designing computer chips, LegalMation's AI drafting legal documents, AI-generated music by OpenAI's Jukebox, and AI-assisted programming tools like Codota. It also touches on the ethical implications and intellectual property concerns raised by AI's role in content creation. The piece concludes by emphasizing the vast opportunities presented by Creative AI and the importance of embracing this technology to enhance human creativity rather than viewing it as a threat.

Opinions

  • The author views the integration of AI with human creativity as a "creative revolution," suggesting a transformative impact on creative industries.
  • There is an optimistic outlook on the potential of Creative AI, with the author stating that we are only at the beginning of this revolution.
  • The author implies that AI's involvement in creative tasks may lead to legal complexities, particularly concerning intellectual property rights.
  • The article suggests that AI can accelerate and improve upon human capabilities in various sectors, including software development, legal work, and entertainment.
  • There is a recognition of the ethical considerations that come with AI's growing role in concept and content generation.
  • The author encourages a perspective of AI as an ally to human professionals, enhancing creativity and productivity rather than replacing human ingenuity.
Photo by Cristina Gottardi on Unsplash

Artificial Intelligence

An Overview of Creative AI

Analyzing a trend taking AI towards a more “creative” space with the integration with human creativity.

AI and Machine Learning capacity has increased exponentially in the last years, executing more complex tasks that today are exclusive to human beings but still, there is a frontier that AI did not overcome yet, and maybe it will take a long time to be broken by the machines: creative and innovative tasks.

But a new path maybe will accelerate this evolution: the integration between AI and human creativity that can generate even more extraordinary results.

As defined by Ed Newton-Rex in his article Creative AI — a reading list, AI can be defined as the simulation of machines' intelligence. In the same way, Creative AI is the simulation of creativity in machines.

There are enormous opportunities in this field, and we are only at the beginning of this creative revolution.

Innumerous AI systems are advancing in their ability to “create,” in some cases muddying the surrounding legal waters. I have selected here some exciting projects that are starting to explore this trend in the AI landscape:

Google

Google revealed it was training its AI to design computer chips with optimized chip placements in less than 6 hours. In comparison, human counterparts might take weeks to create similar or inferior chips.

LegalMation

LegalMation, which has an AI platform that drafts legal paperwork, updated its platform to prepare answers and discovery documents in response to COVID-19-related causes of action. Last year, its competitor Casetext launched an AI-powered automated legal brief-drafting platform called Compose and raised $8.2M from investors.

Audio Deepfakes

Audio deepfakes, many mimicking famous personalities, and music have advanced in quality and grown in popularity.

YouTube received a copyright claim regarding an audio deepfake seeking a content takedown.

Roc Nation

Entertainment agency Roc Nation said regarding two-deep faked audio clips of Jay-Z reciting Shakespeare and singing Billy Joel: “This content unlawfully uses an AI to impersonate our client’s voice.” YouTube initially took down the videos but later put them back up due to the claim’s questionable legal validity.

OpenAI

Known for its text-generating GPT-2 AI system, OpenAI released a music-generating neural net called Jukebox to generate music samples in various genres and styles, with artificially generated lyrics co-written by the system and AI researchers.

Aimi

Aimi launched an AI-powered app in a similar vein that can turn real tracks from artists into adaptive electronic music to meet listeners’ needs. Its competitors include Endel (which has a deal with Warner Music), Weav Run, and Mubert.

Codota

Startup Codota’s AI-powered code completion is helping developers write 25% less code. Other code completion tools include Kite (which has 250K+ users), Deep TabNine, and IntelliSense.

Historically, automated code generation has had a poor reputation. Still, there are growing signals that AI is productively employed across the software development process, including AI-assisted programming and supporting low– and no-code development.

Electronic Arts

Electronic Arts announced it was experimenting with AI to automate lifelike animated characters (such as a controllable soccer player) and accelerate its video-game development process. Separately, researchers from the University of Toronto and MIT collaborated with Nvidia and announced an AI engine that could recreate a new Pac-Man version without access to the original code.

Microsoft

Microsoft just announced it was laying off dozens of journalists and editorial staff at Microsoft News and MSN in favor of AI-powered content curation. About 50 teams in the US and 27 in the UK (it had 800 editorial staff in late 2018) have been reportedly affected.

Syntekabio

The past week saw two AI drug discovery startups (Intro, Exscientia) raise $200M+ in funding.

Another drug development firm Syntekabio announced they had used their AI platform to screen 3,000 drugs for potential COVID-19 therapeutics.

These are just the latest developments among the 230+ startups and big pharma using AI to discover new drugs from antibiotics to antibody therapies, in some cases far faster and for far less than the typical 4.5 years in development time and $2.6B in cost.

Others

Many media outlets — including The Washington Post, Bloomberg, Reuters, Associated Press, and The Guardian — use AI systems to automate content generation to varying degrees.

The quality of some forms of AI-powered text generation — such as OpenAI’s GPT-2 — has advanced to the point where there are concerns about misuse.

Photo by William Iven on Unsplash

How to learn more about Creative AI

There are several initiatives online that can help you learn about Creative AI like training courses, webinars, and others..

I recently completed a free course called Introduction to Creative AI by FutureLearn that explores the ways AI is changing the creative industries and how we can develop our own careers in creative AI.

An exciting reading list can be found in the article Creative AI — a reading list by Ed Newton-Rex where he brings together several articles, demos, and papers to serve as a primer for anyone looking to get up to speed with Creative AI.

Also, big names like IBM are interested in this new trend, as you can see in the article The quest for AI creativity that explores Creative AI new frontiers and share some learning resources on the topic.

The ethical implications of creative AI

As AI advances and becomes more responsible for concept and content generation, the extent to which its output can be protected as the intellectual property will have vast implications. You can read more about it in this article: A quick reflection on some ethical implications of creative AI.

Conclusion

The possibilities in this field are endless, and we are only at the beginning of this creative revolution.

The more we understand Artificial Intelligence as an ally and not as an enemy, the more creative the work generated by professionals will be, taking advantage of this new technological wave instead of claiming it exists.

One more thing

If you want to read more about creative AI, deep learning, and other topics, here you have some other articles:

Also, I’ve just published a new ebook on Amazon, and I’m already working on publishing some other new ones across this year… let’s keep in touch, and let’s do it together.

Artificial Intelligence
Creativity
Creative Ai
Innovation
Automation
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