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Ethics & Policy

‘(Un)Making AI Worlds’ Explores Artificial Intelligence Ethics with Artistic Performance

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Performing Arts Assistant Professor and co-curator Tushar Mathew provides a live performance of Secret Hyena as part of the (Un)Making AI Worlds exhibit at the Huret & Spector Gallery. (Photo by Zubin Stillings)

Artificial intelligence is shaping our world, influencing social interactions, large-scale decision-making processes, and the art world. 

The Emerson Contemporary exhibition, (Un)Making AI Worlds, engaged with AI systems and their societal impacts through critical inquiry and artistic exploration. The exhibit was on view in the Huret & Spector Gallery from March 17-22.

A March 18 panel discussion aligned with the exhibition included a performance of (Machine) Learning to Be, a multimedia performance in development emerging from the Data Fluencies Theatre Project team’s critical and creative interrogations of artificial intelligence and AI systems. The participatory, devised, hybrid multimedia performance explored AI as both a technology and a character, reflecting its complex role in human society.

“The goal was to bring together a team of interdisciplinary artists to engage critically and creatively with artificial intelligence,” said Marlboro Institute Assistant Professor loana B. Jucan, co-curator of the exhibition.

The exhibition opening began with a presentation of Secret Hyena, a live performance that explores the intersection of AI, surveillance, and human vulnerability. Created and performed by Performing Arts Assistant Professor and co-curator Tushar Mathew, the piece engages real-time audience prompts to bring to life an anthropomorphic AI-generated hyena who serves as a collector of human secrets.

Three people participate in a panel while standing.
Left to right: Marlboro Institute Assistant Professor loana Jucan, Performing Arts Assistant Professor Tushar Mathew, Distinguished Curator-in-Residence Leonie Bradbury. The three co-curated (Un)Making AI Worlds at Emerson Contemporary’s Huret & Spector Gallery. (Photo by Zubin Stillings)

“The exploration has been: Can I partner with an AI chatbot to create something dramatic, to create language out of vision that is actionable?” said Performing Arts Assistant Professor and co-curator Tushar Mathew .

While AI can create movement and text, Mathew believes it still takes human interpretation and emotion to make it artistically meaningful.

“If you ask me tomorrow, I might say this is the future,” said Mathew. “But for now, so much of the human heart is required to translate AI material into something that is groundbreaking. That’s the essence of the project, figuring out how we work together.” 

For Gavan Cheema, panelist and co-creator of (Machine) Learning to Be, the conversation around AI in theatre parallels past debates over emerging technologies, such as the use of projections in stage design. Initially met with skepticism, projections were once seen as a potential threat to traditional theater practices, much like the concerns raised about AI today. 

“When projections first emerged as a technology, a lot of directors were resistant… They were resistant in the sense of ‘What is this going to replace? What does this mean in the theatrical context?’…it actually enhanced it,” said Cheema.

“We know theater won’t be replaced, because there is a human-to-human connection that is invaluable and thinking about AI as a tool that can enhance that human to human interaction is really exciting. AI feels unavoidable, so how can we engage with this in a way where we still have creative control.”

A red light and water bottle
This image is part of the exhibit activation The Binary Oracle: A Glitch in the Collective (Un)Consciousness. The Binary Oracle is an interactive, multilingual Al character born out of the idea that Al represents a mirror of the commercially mined collective unconscious (Photo by Zubin Stillings)

Enongo Lumumba-Kasongo, paneliest and co-creator of (Machine) Learning to Be, is still adjusting to a significant shift in her creative process. Unlike her usual work, where she has complete control over writing songs, producing beats, and performing live, this project required her to design an interactive experience where she couldn’t fully dictate how audiences would engage with it.

“A lot of this process involved thinking about how to craft an experience, one that I wouldn’t necessarily control,” said Lumumba-Kasongo. “That challenge pushed me into new creative spaces. There’s an openness around how others might interact with the thing you’ve created.”

She acknowledged that those with a background in theatre are more accustomed to this kind of collaborative creation, where a performance is built collectively and shaped by the engagement of multiple contributors. 

A person sits and watches a TV monitor.
An exhibit goer participates with one of the active experiences as part of (Un)Making AI Worlds exhibit. (Photo by Zubin Stillings)

Beyond aesthetics, the panel also delved into the ethical implications of AI, both for the environment and humans. Jucan framed the discussion as a necessary cost-benefit analysis. 

“Clearly there is some value, which is why we are engaging with these tools, so what’s that value compared to what the cost is?” Jucan asked. “So it’s a cost benefit analysis that hopefully all of us are going to engage in.” 

Aidan Nelson, panelist and co-creator of (Machine) Learning to Be, emphasized the challenge of assessing AI’s environmental footprint.

“The companies and commercial providers for various AI systems do not make it apparent to you that when you query a machine learning model in the cloud that it has  costs associated with it,” said Nelson. “So I applaud and try to contribute to efforts that make it more apparent how much each of these systems uses as far as energy.”

Mathew raised another pressing question – the human cost of AI dependence. 

“A lot of people are in bad mental health places that depend solely on AI chatbots for companionship, for love, for friendship,” Mathew said. “We often focus on the environmental impact, but what about the human cost of continued dependence on AI?”



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Ethics & Policy

AI and ethics – what is originality? Maybe we’re just not that special when it comes to creativity?

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I don’t trust AI, but I use it all the time.

Let’s face it, that’s a sentiment that many of us can buy into if we’re honest about it. It comes from Paul Mallaghan, Head of Creative Strategy at We Are Tilt, a creative transformation content and campaign agency whose clients include the likes of Diageo, KPMG and Barclays.

Taking part in a panel debate on AI ethics at the recent Evolve conference in Brighton, UK, he made another highly pertinent point when he said of people in general:

We know that we are quite susceptible to confident bullshitters. Basically, that is what Chat GPT [is] right now. There’s something reminds me of the illusory truth effect, where if you hear something a few times, or you say it here it said confidently, then you are much more likely to believe it, regardless of the source. I might refer to a certain President who uses that technique fairly regularly, but I think we’re so susceptible to that that we are quite vulnerable.

And, yes, it’s you he’s talking about:

I mean all of us, no matter how intelligent we think we are or how smart over the machines we think we are. When I think about trust, – and I’m coming at this very much from the perspective of someone who runs a creative agency – we’re not involved in building a Large Language Model (LLM); we’re involved in using it, understanding it, and thinking about what the implications if we get this wrong. What does it mean to be creative in the world of LLMs?

Genuine

Being genuine, is vital, he argues, and being human – where does Human Intelligence come into the picture, particularly in relation to creativity. His argument:

There’s a certain parasitic quality to what’s being created. We make films, we’re designers, we’re creators, we’re all those sort of things in the company that I run. We have had to just face the fact that we’re using tools that have hoovered up the work of others and then regenerate it and spit it out. There is an ethical dilemma that we face every day when we use those tools.

His firm has come to the conclusion that it has to be responsible for imposing its own guidelines here  to some degree, because there’s not a lot happening elsewhere:

To some extent, we are always ahead of regulation, because the nature of being creative is that you’re always going to be experimenting and trying things, and you want to see what the next big thing is. It’s actually very exciting. So that’s all cool, but we’ve realized that if we want to try and do this ethically, we have to establish some of our own ground rules, even if they’re really basic. Like, let’s try and not prompt with the name of an illustrator that we know, because that’s stealing their intellectual property, or the labor of their creative brains.

I’m not a regulatory expert by any means, but I can say that a lot of the clients we work with, to be fair to them, are also trying to get ahead of where I think we are probably at government level, and they’re creating their own frameworks, their own trust frameworks, to try and address some of these things. Everyone is starting to ask questions, and you don’t want to be the person that’s accidentally created a system where everything is then suable because of what you’ve made or what you’ve generated.

Originality

That’s not necessarily an easy ask, of course. What, for example, do we mean by originality? Mallaghan suggests:

Anyone who’s ever tried to create anything knows you’re trying to break patterns. You’re trying to find or re-mix or mash up something that hasn’t happened before. To some extent, that is a good thing that really we’re talking about pattern matching tools. So generally speaking, it’s used in every part of the creative process now. Most agencies, certainly the big ones, certainly anyone that’s working on a lot of marketing stuff, they’re using it to try and drive efficiencies and get incredible margins. They’re going to be on the race to the bottom.

But originality is hard to quantify. I think that actually it doesn’t happen as much as people think anyway, that originality. When you look at ChatGPT or any of these tools, there’s a lot of interesting new tools that are out there that purport to help you in the quest to come up with ideas, and they can be useful. Quite often, we’ll use them to sift out the crappy ideas, because if ChatGPT or an AI tool can come up with it, it’s probably something that’s happened before, something you probably don’t want to use.

More Human Intelligence is needed, it seems:

What I think any creative needs to understand now is you’re going to have to be extremely interesting, and you’re going to have to push even more humanity into what you do, or you’re going to be easily replaced by these tools that probably shouldn’t be doing all the fun stuff that we want to do. [In terms of ethical questions] there’s a bunch, including the copyright thing, but there’s partly just [questions] around purpose and fun. Like, why do we even do this stuff? Why do we do it? There’s a whole industry that exists for people with wonderful brains, and there’s lots of different types of industries [where you] see different types of brains. But why are we trying to do away with something that allows people to get up in the morning and have a reason to live? That is a big question.

My second ethical thing is, what do we do with the next generation who don’t learn craft and quality, and they don’t go through the same hurdles? They may find ways to use {AI] in ways that we can’t imagine, because that’s what young people do, and I have  faith in that. But I also think, how are you going to learn the language that helps you interface with, say, a video model, and know what a camera does, and how to ask for the right things, how to tell a story, and what’s right? All that is an ethical issue, like we might be taking that away from an entire generation.

And there’s one last ‘tough love’ question to be posed:

What if we’re not special?  Basically, what if all the patterns that are part of us aren’t that special? The only reason I bring that up is that I think that in every career, you associate your identity with what you do. Maybe we shouldn’t, maybe that’s a bad thing, but I know that creatives really associate with what they do. Their identity is tied up in what it is that they actually do, whether they’re an illustrator or whatever. It is a proper existential crisis to look at it and go, ‘Oh, the thing that I thought was special can be regurgitated pretty easily’…It’s a terrifying thing to stare into the Gorgon and look back at it and think,’Where are we going with this?’. By the way, I do think we’re special, but maybe we’re not as special as we think we are. A lot of these patterns can be matched.

My take

This was a candid worldview  that raised a number of tough questions – and questions are often so much more interesting than answers, aren’t they? The subject of creativity and copyright has been handled at length on diginomica by Chris Middleton and I think Mallaghan’s comments pretty much chime with most of that.

I was particularly taken by the point about the impact on the younger generation of having at their fingertips AI tools that can ‘do everything, until they can’t’. I recall being horrified a good few years ago when doing a shift in a newsroom of a major tech title and noticing that the flow of copy had suddenly dried up. ‘Where are the stories?’,  I shouted. Back came the reply, ‘Oh, the Internet’s gone down’.  ‘Then pick up the phone and call people, find some stories,’ I snapped. A sad, baffled young face looked back at me and asked, ‘Who should we call?’. Now apart from suddenly feeling about 103, I was shaken by the fact that as soon as the umbilical cord of the Internet was cut, everyone was rendered helpless. 

Take that idea and multiply it a billion-fold when it comes to AI dependency and the future looks scary. Human Intelligence matters



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Ethics & Policy

Preparing Timor Leste to embrace Artificial Intelligence

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UNESCO, in collaboration with the Ministry of Transport and Communications, Catalpa International and national lead consultant, jointly conducted consultative and validation workshops as part of the AI Readiness assessment implementation in Timor-Leste. Held on 8–9 April and 27 May respectively, the workshops convened representatives from government ministries, academia, international organisations and development partners, the Timor-Leste National Commission for UNESCO, civil society, and the private sector for a multi-stakeholder consultation to unpack the current stage of AI adoption and development in the country, guided by UNESCO’s AI Readiness Assessment Methodology (RAM).

In response to growing concerns about the rapid rise of AI, the UNESCO Recommendation on the Ethics of Artificial Intelligence was adopted by 194 Member States in 2021, including Timor-Leste, to ensure ethical governance of AI. To support Member States in implementing this Recommendation, the RAM was developed by UNESCO’s AI experts without borders. It includes a range of quantitative and qualitative questions designed to gather information across different dimensions of a country’s AI ecosystem, including legal and regulatory, social and cultural, economic, scientific and educational, technological and infrastructural aspects.

By compiling comprehensive insights into these areas, the final RAM report helps identify institutional and regulatory gaps, which can assist the government with the necessary AI governance and enable UNESCO to provide tailored support that promotes an ethical AI ecosystem aligned with the Recommendation.

The first day of the workshop was opened by Timor-Leste’s Minister of Transport and Communication, H.E. Miguel Marques Gonçalves Manetelu. In his opening remarks, Minister Manetelu highlighted the pivotal role of AI in shaping the future. He emphasised that the current global trajectory is not only driving the digitalisation of work but also enabling more effective and productive outcomes.



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Experts gather to discuss ethics, AI and the future of publishing

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Representatives of the founding members sign the memorandum of cooperation at the launch of the Association for International Publishing Education during the 3rd International Conference on Publishing Education in Beijing.CHINA DAILY

Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.

True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing’s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.

This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.

Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.

Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.

BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.

Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.

Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.

Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.

Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.

The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.

 

 

 



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