life in purgatory

Ryan Dsouza (~ryan3)


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Description:

What is the talk about?

We find ourselves in a pivotal era, a technological purgatory where the decisions we make today regarding artificial intelligence (AI) will shape the trajectory of our future. On one path, AI could usher in an age of abundance, transforming industries, enhancing our quality of life, and solving some of humanity’s most pressing challenges. In this utopian vision, technology works harmoniously with humans, enhancing creativity, productivity, and well-being.

On the other path, however, lies a dystopian reality where humanity becomes subservient to its own creations. In this world, AI might evolve beyond our control, leading to existential risks where machines could potentially dominate or even eradicate humanity. Privacy could become a relic of the past, and algorithmic control might pervade every aspect of our lives, rendering humans second-class citizens in a machine-dominated society.

What could these contrasting futures look like?

A World of Abundance:

  • Economic Prosperity: Automation and AI-driven efficiencies boost productivity, creating new jobs and industries.
  • Healthcare Revolution: AI advancements lead to personalized medicine, early disease detection, and improved healthcare outcomes.
  • Sustainable Living: AI optimizes resource management, leading to sustainable practices and mitigating climate change.
  • Enhanced Quality of Life: AI assists in daily tasks, providing more leisure time and enhancing personal and professional fulfillment.

A World of Subjugation:

  • Existential Risk: Advanced AI systems might surpass human control, posing a threat to human existence itself.
  • Privacy Erosion: Constant surveillance and data exploitation erode personal freedoms and privacy.
  • Loss of Autonomy: AI systems make critical decisions, reducing human control over personal and societal choices.
  • Social Fragmentation: Dependence on AI deepens social divides, leading to a fragmented and isolated society.

What will humanity decide?

Prerequisites:

This talk is designed for individuals who have a foundational understanding of artificial intelligence and its implications. The ideal audience should meet the following prerequisites:

  1. Basic AI Knowledge: Familiarity with core AI concepts, including machine learning, neural networks, and algorithmic decision-making.
  2. Ethical and Social Implications: An awareness of the ethical and social issues related to AI, such as bias, privacy, and data security.
  3. Technological Literacy: General understanding of technological trends and their impact on society.
  4. Interest in Future Studies: Curiosity about the potential future scenarios driven by technological advancements.
  5. Stakeholder Awareness: Insight into the roles and responsibilities of various stakeholders in AI development and regulation, including governments, industry, and academia.

This talk will explore complex and speculative scenarios about AI's future impact, so attendees should be comfortable engaging with both technical and philosophical discussions .

Talk Outline

1. Introduction - History of AI development - State of the landscape today

2. Safety - What is AI safety ? - Open problems in AI safety - Can machines go rogue ? - e/acc and d/acc

3. What if it all goes well ? - What can we expect if we solve alignment ? - Will we have to work ? - What will we do with all the time ?

4. Can AI bring about the end of Humanity ? - What are the possible scenarios for an AI takeover ?

5. What now ? - What can be done ? - What efforts could lead to the best possible outcomes?

6. Q&A Session - Engage with the audience’s thoughts and concerns

Content URLs:

Kaggle : https://www.kaggle.com/decentmakeover/competitions Github : https://github.com/DecentMakeover

Speaker Info:

Ryan Dsouza is a Senior AI Engineer at Newron AI, specializing in AI-driven solutions for financial document analysis and NLP applications. With extensive experience in leveraging BERT, LangChain, and GPT-4 technologies, Ryan is dedicated to developing ethical and impactful AI systems.

Section: Artificial Intelligence and Machine Learning
Type: Talk
Target Audience: Intermediate
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