Is computational creativity possible? The recent hype around generative artificial intelligence (AI) tools such as ChatGPT, Midjourney, Dall-E and many others, raises new questions about whether creativity is a uniquely human skill.
Some recent and remarkable milestones of generative AI foster this question:
- An AI artwork, The Portrait of Edmond de Belamy, sold for $432,500, nearly 45 times its high estimate, by the auction house Christie’s in 2018. The artwork was created by a generative adversarial network that was fed a data set of 15,000 portraits covering six centuries.
- Music producers such as Grammy-nominee Alex Da Kid, have collaborated with AI (in this case IBM’s Watson) to churn out hits and inform their creative process.
In the cases above, a human is still at the helm, curating the AI’s output according to their own vision and thereby retaining the authorship of the piece. Yet, AI image generator Dall-E, for example, can produce novel output on any theme you wish within seconds. Through diffusion, whereby huge datasets are scraped together to train the AI, generative AI tools can now transpose written phrases into novel pictures or improvise music in the style of any composer, devising new content that resembles the training data but isn’t identical.
Authorship in this case is perhaps more complex. Is it the algorithm? The thousands of artists whose work has been scraped to produce the image? The prompter who successfully describes the style, reference, subject matter, lighting, point of view and even emotion evoked? To answer these questions, we must return to an age-old question.
What is creativity?
According to Margaret Boden, there are three types of creativity: combinational, exploratory, and transformational creativity. Combinational creativity combines familiar ideas together. Exploratory creativity generates new ideas by exploring ‘structured conceptual spaces,’ that is, tweaking an accepted style of thinking by exploring its contents, boundaries and potential.
Both of these types of creativity are not a million miles from generative AI’s algorithmic production of art; creating novel works in the same style as millions of others in the training data, a ‘synthetic creativity.’
Transformational creativity, however, means generating ideas beyond existing structures and styles to create something entirely original; this is at the heart of current debates around AI in terms of fair use and copyright – very much unchartered legal waters, so we will have to wait and see what the courts decide.
The key characteristic of AI’s creative processes is that the current computational creativity is systematic, not impulsive, as its human counterpart can often be. It is programmed to process information in a certain way to achieve particular results predictably, albeit in often unexpected ways. In fact, this is perhaps the most significant difference between artists and AI: while artists are self- and product-driven, AI is very much consumer-centric and market-driven – we only get the art we ask for, which is not perhaps, what we need.
So far, generative AI seems to work best with human partners and, perhaps then, the synthetic creativity of the AI is a catalyst to push our human creativity, augmenting human creativity rather than producing it. As is often the case, the hype around these tools as disruptive forces outstrips the reality. In fact, art history shows us that technology has rarely directly displaced humans from work they wanted to do.
Think of the camera, for example, which was feared due to its power to put portrait painters out of business. What are the business implications for the use of synthetic creativity by AI, then?
Synthetic art for business
Synthetic creativity on demand, as currently generated by AI, is certainly a boon to business and marketing. Recent examples include:
- AI-enhanced advertising: Ogilvy Paris used Dall-E to create an AI version of Vermeer’s The Milkmaid for Nestle yoghurts.
- AI-designed furniture: Kartell, Philippe Starck and Autodesk collaborated with AI to create the first chair designed using AI for sustainable manufacturing.
- AI-augmented fashion styling: Stitch Fix utilised AI to capture personalised visualisations of clothing based on requested customer preferences such as colour, fabric and style.
The potential use scenarios are endless and what they require is another form of creativity: curation. AI has been known to ‘hallucinate’ – an industry term for spewing nonsense – and the decidedly human skill required is in sense-making, that is expressing concepts, ideas and truths, rather than just something that is pleasing to the senses. Curation is therefore needed to select and frame, or reframe, a unified and compelling vision.
This article was originally published by The Conversation and republished by the World Economic Forum.
License and Republishing
The Choice - Republishing rules
We publish under a Creative Commons license with the following characteristics Attribution/Sharealike.
- You may not make any changes to the articles published on our site, except for dates, locations (according to the news, if necessary), and your editorial policy. The content must be reproduced and represented by the licensee as published by The Choice, without any cuts, additions, insertions, reductions, alterations or any other modifications.If changes are planned in the text, they must be made in agreement with the author before publication.
- Please make sure to cite the authors of the articles, ideally at the beginning of your republication.
- It is mandatory to cite The Choice and include a link to its homepage or the URL of thearticle. Insertion of The Choice’s logo is highly recommended.
- The sale of our articles in a separate way, in their entirety or in extracts, is not allowed , but you can publish them on pages including advertisements.
- Please request permission before republishing any of the images or pictures contained in our articles. Some of them are not available for republishing without authorization and payment. Please check the terms available in the image caption. However, it is possible to remove images or pictures used by The Choice or replace them with your own.
- Systematic and/or complete republication of the articles and content available on The Choice is prohibited.
- Republishing The Choice articles on a site whose access is entirely available by payment or by subscription is prohibited.
- For websites where access to digital content is restricted by a paywall, republication of The Choice articles, in their entirety, must be on the open access portion of those sites.
- The Choice reserves the right to enter into separate written agreements for the republication of its articles, under the non-exclusive Creative Commons licenses and with the permission of the authors. Please contact The Choice if you are interested at firstname.lastname@example.org.
Extracts: It is recommended that after republishing the first few lines or a paragraph of an article, you indicate "The entire article is available on ESCP’s media, The Choice" with a link to the article.
Citations: Citations of articles written by authors from The Choice should include a link to the URL of the authors’ article.
Translations: Translations may be considered modifications under The Choice's Creative Commons license, therefore these are not permitted without the approval of the article's author.
Modifications: Modifications are not permitted under the Creative Commons license of The Choice. However, authors may be contacted for authorization, prior to any publication, where a modification is planned. Without express consent, The Choice is not bound by any changes made to its content when republished.
Authorized connections / copyright assignment forms: Their use is not necessary as long as the republishing rules of this article are respected.
Print: The Choice articles can be republished according to the rules mentioned above, without the need to include the view counter and links in a printed version.
If you choose this option, please send an image of the republished article to The Choice team so that the author can review it.
Podcasts and videos: Videos and podcasts whose copyrights belong to The Choice are also under a Creative Commons license. Therefore, the same republishing rules apply to them.