De la inteligencia humana a la artificial en las artes | Charla | Migraciones creativas

International Symposium on Creative Migrations

Introduction to the Symposium

• The symposium is introduced as the first international event focusing on creative migrations, celebrating 30 years of the National Arts Center.

• It aims to gather experts, artists, activists, and researchers to explore complex relationships between ideological, technological, scientific, and artistic migrations.

• Key topics include artificial intelligence in art, human intelligence in creative processes, and neurological aspects of art perception.

• The role of education in a hyperconnected world is emphasized, particularly regarding contemporary artistic education.

• The main goal is to critically examine current practices in contemporary art amidst challenges like post-truth and hyper-technologization.

Presentation by Enrique Olmos

• Enrique Olmos introduces a prominent philosopher and researcher known for his work on quantum epistemology in the arts.

• The speaker provocatively claims that generative artificial intelligence could render biological intelligence obsolete and lead society towards totalitarianism.

Artistic Perspectives: Paul Cézanne's Influence

• Reference is made to French painter Paul Cézanne’s experiences with nature and how he perceived it through colors and empty spaces.

• Cézanne faced criticism from audiences who struggled to understand his abstract representation of nature; he insisted he painted what he saw—an indistinct world.

Quantum Intelligence Concept

• A discussion arises about free will in physics; if physicists can manipulate observation conditions for particles like electrons, those particles may also exhibit free will.

• This leads to the idea of "quantum intelligence," where elements of nature interact freely within an artist's mind and audience perception.

• The artist's role is framed as creating optimal conditions for this interaction between natural phenomena and audience interpretation.

Distinction Between Biological Intelligence and AI

• The speaker contrasts biological forms of intelligence with computable artificial intelligence (AI), emphasizing that true creativity cannot be fully replicated by machines.

• Many view AI as a utilitarian tool aimed at enhancing reality; however, it often provides a mechanistic perspective shaped by algorithms rather than genuine artistic expression.

Art and AI: A New Era?

The Intersection of Art and Technology

• The speaker discusses the creation of a new image by blending works from different artists, such as Velázquez and Clemente Orozco, highlighting the artificial nature of this process.

• Emphasizes the importance of embracing spontaneity and intuition in art to prevent hyper-rationalization, suggesting that freedom lies in indeterminacy.

• Calls for a return to physical artistic practices like drawing, painting, composing music, and performing arts while acknowledging the imperfections inherent in creative processes.

Introduction of Amparo Vázquez

• Introduces Amparo Vázquez, an artist and researcher with a background in cultural studies and social communication. She is recognized for her work across various mediums including installation and performance art.

• Highlights her academic credentials and experience teaching art and technology at the University of Monterrey since 2018.

The Concept of AI Punk

• Vázquez raises concerns about whether machines will displace human creativity, linking this fear to a broader societal anxiety regarding artificial intelligence (AI).

• Coined the term "AI Punk" to describe the fascination mixed with terror surrounding AI's role in creative fields today.

Historical Context of Artificial Intelligence

• Discusses misconceptions about AI's origins in art; mentions that its rise became notable after an artwork was auctioned for over $400,000 in 2018.

• Clarifies that AI has been developing since the mid-20th century, indicating that its integration into art is not a recent phenomenon but rather part of a longer history.

Timeline of Artificial Intelligence Development

• Provides a brief timeline starting from the 1940s when AI concepts began emerging primarily in the US and London.

• Introduces Turing Test as a measure to distinguish between human-created works versus those generated by AI; passing this test indicates indistinguishability between both forms.

• Notes significant developments from the 1960s through 1990s where early intelligent systems began making decisions akin to humans but faced slower progress compared to contemporary advancements.

Early Artistic Applications of AI

• Mentions "Eliza," an early intelligent machine capable of natural language processing which marked significant milestones in human-computer interaction during its time.

Exploring the Evolution of AI and Creativity

The Journey of Aaron and Interactive Installations

• The discussion begins with Aaron, a project that struggled to transition from traditional human forms to more innovative expressions. Cohen dedicated his life to nurturing this concept.

• An interactive installation featuring 16 images encourages audience engagement, allowing viewers to express which image resonates most with them. This highlights the importance of data collection in understanding audience preferences.

Emergence of Computational Creativity

• In 2001, "Painting Fool" is introduced, coining the term "computational creativity." It signifies a shift where machines begin learning from experiences rather than just following programmed instructions.

• Three key behaviors are identified in Painting Fool:

• Skillful: Imitates brush strokes similar to Aaron.

• Appreciative: Scans and analyzes images for color palettes—a novel concept at the time.

• Imaginative: Generates creative outputs based on newspaper notes about the Afghanistan war.

Advancements in AI Technology

• The establishment of DeepMind marks a significant advancement as it becomes integrated into Google Mind by 2015, indicating growing corporate interest in AI technologies.

• Aline Draw emerges as a foundational model leading to platforms like MidJourney and DALL-E, showcasing how technology evolves through unexpected pathways.

Human Contribution to AI Development

• The Next Rembrandt project exemplifies extensive human effort feeding data into AI systems over years, aiming for an imitation of Rembrandt's style through advanced techniques like 3D printing layers.

• This project won a creativity award at Cannes, emphasizing the distinction between artistic creation and mere replication by machines.

Exploring New Dimensions of AI Artistry

• Memo Atkins' work delves into mystical explorations within AI art, prompting reflections on what it means for machines to "dream," resulting in psychedelic imagery produced by Google's Deep Dream.

• Manuel Deanda compares training generative machines to teaching pets—focusing on pattern recognition rather than specific figures—highlighting evolving methodologies in machine learning.

Trends and Future Directions in AI Art

• The rise of tools like DALL-E (2021) and ChatGPT (2022), alongside emerging platforms such as MidJourney and Nua Infinity, reflects diverse user preferences for realistic versus stylistic image generation.

• Concerns arise regarding advancements that allow for longer video creations with camera movement imitations, raising questions about authenticity and originality within digital content creation.

Defining New Terminology in AI Imagery

The Role of Artificial Intelligence in Contemporary Art

Introduction to the Exhibition

• The exhibition features eight artists curated by Elman Mancín, who presents his work nine years after starting this journey.

• A significant discussion arises around the quality of images produced, which may appear pixelated and could be misinterpreted as low-quality by those unfamiliar with the context.

Aura and Digital Art

• The concept of "aura," as proposed by Walter Benjamin, is questioned in relation to digital art.

• Betancurt introduces the idea of a digital aura, prompting deeper discussions about artificial intelligence's role in art.

Perspectives on Artificial Intelligence

• Tom White investigates the legacy of Cohen regarding AI in art, emphasizing what he calls "algorithmic vision."

• White critiques Silicon Valley's utopian view that AI will eliminate human error and replace humans entirely.

Human vs. Machine Perspectives

• There are contrasting views on AI: one sees it merely as a tool while another recognizes its potential for deeper implications.

• The speaker draws parallels between past social media engagement and current interactions with AI technologies, warning against naive perspectives.

Museums' Approach to AI

• Museums adopt a facilitator role, using humanoid robots to engage audiences based on data collected from visitors.

• While these robots can provide insights into visitor metrics and sales data, they also raise questions about their true purpose beyond mere artistic engagement.

Utopian vs. Dystopian Views on AI

• The idealistic view of AI focuses on problem-solving and productivity; however, this contrasts sharply with the notion that art should not prioritize efficiency or perfection.

• Concerns arise over obsolescence due to advancements like MidJourney; however, intellectual property rights remain crucial in this discourse.

Ethical Considerations in Art and AI

• Artists fear their works may be used without consent to train AI systems for remixing purposes.

• Current laws aim to protect biometric data but ethical considerations extend beyond legal frameworks; questioning who controls these technologies is vital.

Cultural Imperialism and Artistic Integrity

Artificial Intelligence and Its Implications

The Nature of AI-Generated Images

• Discussion on AI characters reflecting on their existence as generated images, highlighting the blurred lines between authorship and protagonism.

Discrimination in AI Recognition

• Examination of how AIs often misclassify traditional attire as costumes, showcasing biases in pattern recognition.

Questioning Eurocentrism in AI

• Juan Cobelli's work critiques the Eurocentric view of historical figures through video game imagery, presenting a dystopian perspective.

Ignoring Human Impact in AI Development

• Emphasis on the consequences of neglecting the human labor behind AI systems and the environmental impact of data processing.

Rethinking Human-Tech Relationships

• Call to reconsider who contributes to training AIs, stressing that many individuals remain unacknowledged in this process due to capitalist structures.

Collaboration and Diversity in AI

Importance of Community Engagement

• Advocacy for collaboration among communities as a means to advance beyond technological limitations, emphasizing diversity within AI discussions.

Legal and Socio-political Dimensions

• Need for monitoring legal aspects related to industrial and intellectual property while considering socio-political implications of AI use.

New Collaborative Understandings with Machines

• Exploration of innovative ways humans can interact with machines, promoting interactive experimentation rather than passive consumption.

Critical Thinking About Art and Emotion

Limitations of Artificial Intelligence

• Notable quote stating that AI lacks true thinking or emotional capacity; it cannot feel or experience sensations like humans do.

Valuing Originality and Social Interaction

• Argument for prioritizing critical thought over mere aesthetics in art, focusing on emotional depth and social interactions instead.

The Role of Critique in Art

The Essence of Artistic Meaning

• Cohen's assertion that art transcends mere visual beauty; its power lies in how meaning is constructed through experiences.

AI's Role in Art Criticism

The Debate Over Robot Critics

• Introduction to Avelina Lesper, an art critic who challenges the notion that robots could effectively critique art compared to human critics.

Defining Intelligence Beyond Machines

Cognitive Abilities vs. Machine Learning

The Essence of Human Creativity vs. Artificial Intelligence

The Unique Nature of the Human Mind

• The human mind possesses emotions and feelings, enabling it to create art and perform daily tasks, distinguishing it from machines.

• Each individual seeks purpose in life, questioning their existence and the reasons for continuing on this journey.

The Role of Technology in Human Creation

• Humans are inherently creators; everything around us is a product of human ingenuity stemming from an inexplicable reality.

• Despite our efforts to shape our circumstances using intelligence, technology often serves utilitarian and economic purposes.

The Illusion of Artificial Intelligence

• Society has embraced technology with blind faith, replacing logical thinking with a form of magical thinking regarding AI capabilities.

• AI analyzes data based on probabilities but fundamentally relies on existing information created by humans, leading to accusations of plagiarism.

The Limitations of AI in Artistic Expression

• Claims that AI can write poetry reduce the art form to mere word arrangements devoid of emotional depth or historical context.

• Beauty, a concept born from human sensitivity and intelligence, is increasingly undervalued in contemporary discussions about art.

The Distinction Between Human Artistry and Machine Output

• True poetry reflects deep emotional experiences; AI-generated works lack genuine understanding or experience.

• Those who believe that machine-generated poems equate to true artistry may be undermining authentic creative expression.

The Dangers of Accepting Mediocrity in Art

• Current trends show a rise in AI-created artworks that mimic famous styles without true comprehension or originality.

• This acceptance leads to competitions celebrating mediocre outputs rather than fostering genuine artistic skill or creativity.

The Importance of Experience in Art Creation

• Art requires lived experiences; machines cannot replicate the nuanced understanding necessary for creating meaningful work.

• Authentic art emerges from those willing to embrace their unique existence rather than surrendering creativity to artificial tools.

Conclusion: Preserving Human Creativity Amidst Technological Advances

The Value of Creation and Courage

The Importance of Embracing Risk in Creativity

• The speaker emphasizes that mediocrity is a consequence of avoiding risks. Those who dare to use their intelligence through trial and error will experience growth.

• Living with uncertainty and doubt is portrayed as essential for creativity, while giving up on creation is seen as cowardice.

• The act of creating requires courage, suggesting that true innovation comes from embracing challenges rather than shying away from them.

Acknowledgment of Participants

• Gratitude is expressed towards the three speakers for sharing valuable and personal insights during the event.

• Appreciation is extended to attendees who traveled to the National Arts Center, highlighting the importance of their presence despite the option to watch online.

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