WeAreDevelopers LIVE • Jun 12, 2024

Edit Your Future: Queerverse Radical AI

Răzvan Ion

Can queer theory dismantle the systemic biases hidden in modern algorithms? Explore how challenging rigid data binaries can transform artificial intelligence into a radical engine for liberation.

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#1 about 4 min

Introduction to queer micro society and artificial intelligence

Exploring the intersection of queer identity and artificial intelligence through journalism and technology.

#2 about 2 min

Defining queer micro society against traditional community structures

How the term micro society better captures the diverse political and ecological dynamics of queer identity than traditional community structures.

#3 about 3 min

Disrupting normative artificial intelligence with queer theory

Applying queer theory to artificial intelligence development dismantles inherent heteronormative biases and rigid categories.

#4 about 3 min

Reimagining artificial intelligence ethics through radical philosophy

Shifting from a language of universal difference to an ethical focus on human multidimensional growth and flourishing.

#5 about 2 min

Simulating empathy and inclusion with generative models

Using generative artificial intelligence simulators to teach social justice and support interpersonal coming-out processes.

#6 about 2 min

Recognizing queer influence in computing and communication

Acknowledging the historical contributions of queer pioneers highlights the need for globalization of critical civic communication.

#7 about 7 min

Aligning artificial intelligence safeguards with corporate realities

Navigating the conflict between necessary ethical safeguards and the profit-driven interests of corporate tech structures.

#8 about 3 min

Addressing bias and gender representation in training data

Understanding how artificial intelligence models reproduce human biases based on the underlying demographic composition of training data.

#9 about 5 min

Fostering diverse participation in artificial intelligence development

Promoting broad critical thinking and active inclusion of diverse teams to shape better technological outcomes.

#10 about 4 min

Evolving artificial intelligence from simple tool to collaborative partner

Treating artificial intelligence models as partners for debate and progress rather than simple programmable tools.

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Introduction to responsible artificial intelligence and societal impact

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Addressing psychological safety and ethical risks of AI adoption

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Balancing AI regulation with technological innovation in human resources

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Speaker background and current technology implementations

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Rethinking software engineering processes beyond human constraints

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