Researchers are calling for a shift in focus when it comes to AI-generated deepfakes, specifically those that are non-consensual and intimate. Currently, AI literature prioritizes authenticity and truth, but ignores the harm caused to individuals in these images. The field needs to realign its priorities and consider the dignity harms caused by these images.
The rapid adoption of AI technology is creating a 'messy middle' where benefits and drawbacks collide. As governments and companies navigate this transition, they must make trade-offs between competing priorities. This transition is expected to be a challenging period of adjustment.
Regulators are turning to AI to keep up with fintech, with the UK's Financial Conduct Authority embedding AI across its supervision and enforcement. The US Federal Reserve and FDIC are also exploring AI-powered tools. Meanwhile, OpenAI has launched a new product called OpenAI Presence, which helps enterprises improve their AI voice and chat agents.
The University of Utah has joined a national network of AI-driven cloud laboratories, enabling robots to be controlled remotely and standardizing research processes. Penn State Great Valley has introduced a new research-intensive master's program in artificial intelligence, providing students with opportunities to conduct original research and develop new AI methods.
However, the growth of AI is not without its challenges. Communities across the US are pushing back against the construction of AI data centers, citing concerns about water and power supplies, as well as the impact on local environments. AI engineers prioritize quality, agentic capabilities, and cost when building AI systems, often using open-weight models in conjunction with closed models.
The use of AI in retail stores can have unintended consequences, such as undermining the role of human associates. However, AI can also be designed to enhance the associate's role and create a better shopping experience. Gautam Mukunda argues that AI should be regulated similarly to the airline industry, with a focus on safety and innovation.
Key Takeaways
• Researchers call for a shift in focus on AI-generated deepfakes to address non-consensual intimate imagery.• The rapid adoption of AI technology creates a 'messy middle' where benefits and drawbacks collide.
• Regulators turn to AI to supervise and enforce laws in the financial sector.
• OpenAI launches OpenAI Presence to improve AI voice and chat agents for enterprises.
• University of Utah joins a national network of AI-driven cloud laboratories.
• Penn State Great Valley introduces a research-intensive master's program in artificial intelligence.
• Communities push back against AI data centers due to environmental concerns.
• AI engineers prioritize quality, agentic capabilities, and cost when building AI systems.
• The use of AI in retail stores can have unintended consequences on human associates.
• Gautam Mukunda suggests regulating AI like the airline industry, focusing on safety and innovation.
AI Deepfake Research Needs to Focus on Non-Consensual Imagery
Researchers argue that AI-generated non-consensual intimate imagery, or 'deepfakes,' is not being adequately addressed in AI literature. Current research focuses on authenticity and truth, but ignores the harm caused to individuals in these images. The authors suggest that the field needs to realign its priorities and consider the dignity harms caused by these images.
AI Investors Need to Consider the 'Messy Middle'
The rapid adoption of AI technology is creating a 'messy middle' where the benefits and drawbacks of AI collide. As governments and companies navigate this transition, they must make trade-offs between competing priorities. The author suggests that this transition will be a challenging period of adjustment, similar to the 'Engels' Pause' experienced during the Industrial Revolution.
Regulate AI Like the Airline Industry
Gautam Mukunda argues that AI should be regulated similarly to the airline industry, with a focus on safety and innovation. He suggests that the US model of regulation can serve as a blueprint for managing AI, and that it is not too late to mitigate the risks associated with AI.
Regulators Turn to AI to Keep Up with Fintech
Regulators are increasingly using AI to supervise and enforce laws in the financial sector. The UK's Financial Conduct Authority is embedding AI across its supervision and enforcement, while the US Federal Reserve and FDIC are also exploring AI-powered tools.
University Joins Elite Network of AI-Driven Cloud Laboratories
The University of Utah has been selected to join a national network of AI-driven cloud laboratories, which will enable robots to be controlled remotely and standardize research processes.
OpenAI Unveils Tool to Improve AI Voice and Chat Agents
OpenAI has launched a new product called OpenAI Presence, which helps enterprises improve their AI voice and chat agents. The tool is only available to eligible enterprises and is deployed by OpenAI engineers.
Penn State Adds Research-Focused AI Master's Program
Penn State Great Valley has introduced a new research-intensive master's program in artificial intelligence, which will provide students with opportunities to conduct original research and develop new AI methods.
Community Backlash to AI Data Centers Grows
Communities across the US are pushing back against the construction of AI data centers, citing concerns about water and power supplies, as well as the impact on local environments.
AI Engineers Prioritize Quality Over Open Models
A new survey reveals that AI engineers prioritize quality, agentic capabilities, and cost when building AI systems. While open-weight models are being adopted, they are often used in conjunction with closed models.
The Unintended Consequences of In-Store AI
The use of AI in retail stores can undermine the role of human associates, making them seem less valuable to customers. However, AI can also be designed to enhance the associate's role and create a better shopping experience.
Sources
- Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII)
- AI Investors Must Keep This Threat in Mind
- Gautam Mukunda: Regulate AI Like the Airline Industry
- Watchdogs Build Their Own Agents to Keep Up
- U selected for elite national network of AI-driven ‘cloud laboratories’
- OpenAI Unveils Product to Hone AI Voice and Chat Agents
- Great Valley adds research-focused master's to artificial intelligence programs
- Community Backlash to AI Data Centers Is Growing Across the U.S.
- Barr Yaron: AI Engineers Value Quality Over Open Models
- The Floor Staff Didn’t Get Replaced By AI, They Got Undermined By It
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