From Bitcoin to Stablecoin: Crypto’s history is a house of cards

The wild beginnings, crazy turns, colorful characters and multiple comebacks of the crypto world

The Washington Post has a nice illustrated history of crypto, From Bitcoin to Stablecoin: Crypto’s history is a house of cards. They use a deck of cards as a visual metaphor and a graph of the ups and downs of crypto. I can’t help thinking that crypto is going to go up again, but when and in what form?

For that matter, where is Ruja Ignatova?

‘I saw the possibility of what could be done – so I did it’: revolutionary video game The Hobbit turns 40 | Games | The Guardian

The developer of the text-adventure game on how, at 20, she overcame 1980s misogyny to turn a Tolkien book into one of the most groundbreaking titles in the gaming canon

The Guardian has a story on Veronika Megler who developed the innovative text (and image) adventure game The Hobbit (1982), ‘I saw the possibility of what could be done – so I did it’: revolutionary video game The Hobbit turns 40. She went on to get a PhD and now is principal data scientist at Amazon Web Services!

You can now play The Hobbit on the Internet Archive.

Issues around AI text to art generators

A new art-generating AI system called Stable Diffusion can create convincing deepfakes, including of celebrities.

TechCrunch has a nice discussion of Deepfakes for all: Uncensored AI art model prompts ethics questions. The relatively sudden availability of AI text to art generators has provoked discussion on the ethics of creation and of large machine learning models. Here are some interesting links:

It is worth identifying some of the potential issues:

  • These art generating AIs may have violated copyright in scraping millions of images. Could artists whose work has been exploited sue for compensation?
  • The AIs are black boxes that are hard to query. You can’t tell if copyrighted images were used.
  • These AIs could change the economics of illustration. People who used to commission and pay for custom art for things like magazines, book covers, and posters, could start just using these AIs to save money. Just as Flickr changed the economics of photography, MidJourney could put commercial illustrators out of work.
  • We could see a lot more “original” art in situations where before people could not afford it. Perhaps poster stores could offer to generate a custom image for you and print it. Get your portrait done as a cyberpunk astronaut.
  • The AIs could reinforce visual bias in our visual literacy. Systems that always see Philosophers as old white guys with beards could limit our imagination of what could be.
  • These could be used to create pornographic deepfakes with people’s faces on them or other toxic imagery.

Social Sciences & Humanities Open Marketplace

Discover new resources for your research in Social Sciences and Humanities: tools, services, training materials and datasets, contextualised.

I’ve been experimenting with the Social Sciences & Humanities Open Marketplace. The Marketplace was developed by three European Research Infrastructures, Dariah-EU, Clarin, and CESSDA. I’m proud to say that TAPoR contributed data to the Marketplace. It is great to have such a directory service for finding things!

EU Artificial Intelligence Act

With the introduction of the Artificial Intelligence Act, the European Union aims to create a legal framework for AI to promote trust and excellence. The AI Act would establish a risk-based framework to regulate AI applications, products and services. The rule of thumb: the higher the risk, the stricter the rule. But the proposal also raises important questions about fundamental rights and whether to simply prohibit certain AI applications, such as social scoring and mass surveillance, as UNESCO has recently urged in the Recommendation on AI Ethics, endorsed by 193 countries. Because of the significance of the proposed EU Act and the CAIDP’s goal to protect fundamental rights, democratic institutions and the rule of law, we have created this informational page to provide easy access to EU institutional documents, the relevant work of CAIDP and others, and to chart the important milestones as the proposal moves forward. We welcome your suggestions for additions. Please email us.

The Center for AI and Digital Policy (CAIDP) has a good page on the EU Artificial Intelligence Act with links to different resources. I’m trying to understand this Act the network of documents related to it, as the AI Act could have a profound impact on how AI is regulated, so I’ve put together some starting points.

First, the point about the potential influence of the AI Act is made in a slide by Giuliano Borter, a CAIDP Fellow. The slide deck is a great starting point that covers key points to know.

Key Point #1 – EU Shapes Global Digital Policy

• Unlike OECD AI Principles, EU AI legislation will have legal force with consequences for businesses and consumers

• EU has enormous influence on global digital policy (e.g. GDPR)

• EU AI regulation could have similar impact

Borter goes on to point out that the Proposal is based on a “risk-based approach” where the higher the risk the more (strict) regulation. This approach is supposed to provide legal room for innovative businesses not working on risky projects while controlling problematic (riskier) uses. Borter’s slides suggest that an unresolved issue is mass surveillance. I can imagine that there is the danger that data collected or inferred by smaller (or less risky) services is aggregated into something with a different level of risk. There are also issues around biometrics (from face recognition on) and AI weapons that might not be covered.

The Act is at the moment only a proposal for a Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) – the Proposal was launched in April of 2021 and all sorts of entities, including the CAIDP are suggesting amendments.

What was the reason for this AI Act? In the Reasons and Objective opening to the Proposal they write that “The proposal is based on EU values and fundamental rights and aims to give people and other users the confidence to embrace AI-based solutions, while encouraging businesses to develop them.” (p. 1) You can see the balancing of values, trust and business.

But I think it is really the economic/business side of the issue that is driving the Act. This can be seen in the Explanatory Statement at the end of the Report on artificial intelligence in a digital age (PDF) from the European Parliament Special Committee on Artificial Intelligence in a Digital Age (AIDA).

Within the global competition, the EU has already fallen behind. Significant parts of AI innovation and even more the commercialisation of AI technologies take place outside of Europe. We neither take the lead in development, research or investment in AI. If we do not set clear standards for the human-centred approach to AI that is based on our core European ethical standards and democratic values, they will be determined elsewhere. The consequences of falling further behind do not only threaten our economic prosperity but also lead to an application of AI that threatens our security, including surveillance, disinformation and social scoring. In fact, to be a global power means to be a leader in AI. (p. 61)

The AI Act may be seen as way to catch up. AIDA makes the supporting case that “Instead of focusing on threats, a human-centric approach to AI based on our values will use AI for its benefits and give us the competitive edge to frame AI regulation on the global stage.” (p. 61) The idea seems to be that a values based proposal that enables regulated responsible AI will not only avoid risky uses, but create the legal space to encourage low-risk innovation. In particular I sense that there is a linkage to the Green Deal – ie. that AI is being a promising technology that could help reduce energy use through smart systems.

Access Now also has a page on the AI Act. They have a nice clear set of amendments that show where some of the weaknesses in the AI Act could be.

Colorado artist used artificial intelligence program Midjourney to win first place

When Jason Allen submitted his “Théâtre D’opéra Spatial” into the Colorado State Fair’s fine arts competition last week, the sumptuous print was an immediate hit. It also marked a new milestone in the growth of artificial intelligence.

There has been a lot of comment about how a Colorado artist used artificial intelligence program Midjourney to win first place. This is seen as historic, but, as is pointed out in the Washington Post piece, people weren’t sure photography is an art. You could say that in both cases the art is in selection, not the image making that is taken over by a machine.

I can’t help thinking that an important part of art is the making. When I make art things they are amateurish and wouldn’t win any prizes, but I enjoy the making and improving at making. Having played with Midjourney it does have some of the pleasures of creating, but now the creation is through iteratively trying different combinations of words.

The New York Times has story about the win too, An A.I.-Generated Picture Won an Art Prize. Artists Aren’t Happy.

I Wrote a Book with GPT-3 AI in 24 Hours — And Got It Published

“How do we know that you haven’t written the poems you claim were authored by GPT-3?” the publisher asked in one of our calls.

That was what my life had become. Convincing a publisher that AI really had written the poems. No, I hadn’t done any editing. Yes, all the poems were generated in 24 hours and translated to Finnish with Google Translate — within those same 24 hours. Yes, I own the copyright, not OpenAI. Yes, they know and they said yes.

From Humanist I learned about the Medium post by Jukka Aalho I Wrote a Book with GPT-3 AI in 24 Hours. Aalho wrote a short book of poetry in 24 hours using GPT-3. I’ve bought the book and I’m not impressed by the poems. Perhaps they were better in Finnish. Here is one of the better ones (where the bold was the prompt),

why do we need to be happy, really
wouldn’t it be enough if we just don’t suffer

but everyone seems to be so very consumed by it
as if it’s the most important thing they can do
is try to get a grip on this
and I guess if that’s what they want
then I suppose I don’t have to be the one telling them
that they are mistaken
that they are making a big mistake
but how could they know that if no one tells them?
I don’t know

I’m just rambling

I’m rambling again

I’m sorry

What’s more impressive is that he got it published, but that may be because people like me would want to check it out.

Aalhu’s reflections on how such AIs might change creativity and editing are, however, quite interesting.

Vol. 31 No. 1 (2022): Ethics in the Age of Smart Systems: Special Issue | The International Review of Information Ethics

The Special Issue of the International Review of Information Ethics has just been fully put up at Vol. 31 No. 1 (2022): Ethics in the Age of Smart Systems: Special Issue. In addition to co-editing it, I co-authored an Editorial commenting On Dialogue and Artificial Intelligence that deals with the LaMDA as sentience issue.

This special issue came out a series of dialogues that AI4Society organized with our partners. These were followed by a symposium on “Ethics in the Age of Smart Machine.”

Workplace Productivity: Are You Being Tracked?

“We’re in this era of measurement but we don’t know what we should be measuring,” said Ryan Fuller, former vice president for workplace intelligence at Microsoft.

The New York Times has essay on  Workplace Productivity: Are You Being Tracked? The neat thing is that the article tracks your reading of it to give you a taste of the sorts of tracking now being deployed for remote (and on site) workers. If you pause and don’t scroll it puts up messages like “Hey are you still there? You’ve been inactive for 32 seconds.”

But Ms. Kraemer, like many of her colleagues, found that WorkSmart upended ideas she had taken for granted: that she would have more freedom in her home than at an office; that her M.B.A. and experience had earned her more say over her time.

What is new is the shift to remote work due to Covid. Many companies are fine with remote work if they can guarantee productivity. The other thing that is changing is the use of tracking for not just manual work, but also for white-collar work.

I’ve noticed that this goes hand in hand with self-tracking. My Apple Watch/iPhone offer a weekly summary of my browsing. It also offers to track my physical activity. If I go for a walk, somewhere close to a kilometer it asks if I want this tracked as exercise.

The questions raised by the authors of the New York Time article include Whether we are tracking the right things? What are we losing with all this tracking? What is happening to all this data? Can companies sell the data about employees?

The article is by Jodi Kantor and Arya Sundaram. It is produced by Aliza Aufrichtig and Rumsey Taylor. Aug. 14, 2022

Zampolli Prize Awarded to Voyant Tools

Spyral Notebook Detail (showing code cell and stacked graphs)

Yesterday I gave the triennial Zampolli Prize lecture that honoured Voyant. The lecture is given at the annual ADHO Digital Humanities conference which this year is being hosted by the University of Tokyo. The award notice is here Zampolli Prize Awarded to Voyant Tools. Some of the things I touched on in the talk included:

  • The genius of of Stéfan Sinclair who passed in August 2020. Voyant was his vision from the time of his dissertation for which he develop HyperPo.
  • The global team of people involved in Voyant including many graduate research assistants at the U of Alberta. See the About page of Voyant.
  • How Voyant built on ideas Stéfan and I developed in Hermeneutica about collaborative research as opposed to the inherited solitary paradigm.
  • How we have now developed an extension to Voyant called Spyral. Spyral is a notebook programming environment built on JavaScript. It allows you to document your Voyant explorations, save parameters for corpora and tools, preprocess texts, postprocess results, and create new visualizations. It is, in short, a full data analysis and visualization environment built into Voyant so you can easily call up and explore results in Voyant’s already rich tool set.
  • In the image above you can see a Spyral code cell that outputs two stacked graphs where the same pattern of words is graphed over two different, but synchronized, corpora. You can thus compare the use of the pattern over time between the two datasets.
  • Replication as a practice for recovering an understanding of innovative technologies now taken for granted like tokenization or the KWIC. I talked about how Stéfan and I have been replicating important text processing technologies as a way of understanding the history of computing and the digital humanities. Spyral was the environment we developed for documenting our replications.
  • I then backed up and talked about the epistemological questions about knowledge and knowledge things in the digital age that grew out of and then inspired our experiments in replication. These go back to attempts to think-through tools as knowledge things that bear knowledge in ways that discourse doesn’t. In this context I talked about the DIKW pyramid (data, information, knowledge, wisdom) that captures current views about the relationships between data and knowledge.
  • Finally I called for help to maintain and extend Voyant/Spyral. I announced the creation of a consortium to bring us together to sustain Voyant.

It was an honour to be able to give the Zampolli lecture on behalf of all the people who have made Voyant such a useful tool.