The hottest Ethical Implications Substack posts right now

And their main takeaways
Category
Top Technology Topics

Import AI 333: Synthetic data makes models stupid; chatGPT eats MTurk. Inflection shows off a large language model

Import AI • 898 implied HN points • 26 Jun 23
🕹 Technology AI Language Models AI Policy Data Training Ethical Implications
  1. Training AI models exclusively on synthetic data can lead to model defects and a narrower range of outputs, emphasizing the importance of blending synthetic data with real data for better results.
  2. Crowdworkers are increasingly using AI tools like chatGPT for text-based tasks, raising concerns about the authenticity of human-generated content.
  3. The UK is taking significant steps in AI policy by hosting an international summit on AI risks and safety, showcasing its potential to influence global AI policies and safety standards.

Import AI 321: Open source GPT3; giving away democracy to AGI companies; GPT-4 is a political artifact

Import AI • 599 implied HN points • 20 Mar 23
🕹 Technology AI Research Model Training Language Models Ethical Implications
  1. AI startup Assembly AI developed Conformer-1 using scaling laws for speech recognition domain, achieving better performance than other models.
  2. The announcement of GPT-4 by OpenAI signifies a shift towards a new political era in AI, raising concerns on the power wielded by private sector companies over AGI development.
  3. James Phillips highlights concerns over Western governments relinquishing control of AGI to US-owned private sector, proposing steps to safeguard democratic control over AI development.

Quantum Computing and Generative AI: Prospects and Challenges

Rod’s Blog • 39 implied HN points • 22 Feb 24
🕹 Technology Quantum Computing Generative AI Ethical Implications
  1. Quantum computing offers faster and more efficient processing of large and complex data sets, benefiting generative AI by enabling tasks like sampling, optimization, and linear algebra in a fraction of the time required by classical computers.
  2. Challenges for quantum computing in generative AI include scalability issues, lack of interpretability, and integration difficulties with classical systems, limiting their full potential.
  3. General availability of quantum computing could bring both enhanced benefits (like advanced data creation and model improvement) and increased risks (such as misuse, security threats, and quantum arms races) in generative AI and across various domains.

Sarah Wambold & Rem Moore: Only Loss

Do Not Research • 59 implied HN points • 20 Jul 23
🎭️ Culture Digital Identity Ethical Implications
  1. Our online interactions with death are increasingly influenced by commodification, where our digital activities are monetized by big tech corporations even in our encounters with memorial pages.
  2. Encounters with digital memories can evoke practices of making data precious, but this also exposes us to the risk of 'digital death' and 'second loss' anxiety, perpetuating a cycle of bereavement and grief.
  3. The concept of 'digital essentialism' and the commodification of digital afterlives shape our interactions with AI projects like thantabots, reflecting how technology continues to influence the ways we engage with the dead online.
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Update #48: Generative AI in Law & Art and Promptable Vision Models

The Gradient • 11 implied HN points • 25 Apr 23
🕹 Technology AI Generative models Neural Networks Research Ethical Implications
  1. Generative AI is transforming fields like Law and Art, raising ethical and legal questions about ownership and bias.
  2. Recent models allow users to specify vision tasks through flexible prompts, enabling diverse applications in image segmentation and visual tasks.
  3. Advances in promptable vision models and generative AI pose challenges and opportunities, from disrupting professions to potential ethical and legal implications.