The Predicted Breakthroughs in Artificial Intelligence for 2024
Artificial intelligence (AI) has been advancing rapidly in recent years, and experts predict even more breakthroughs in the field by the year 2024. In Batch Issue 229, several prominent figures in the AI community share their insights and predictions for the future of this technology.
Anastasis Germanidis: Automation and Modular Systems
Anastasis Germanidis believes that AI systems will continue to grow, especially in the areas of video creation and real-time interaction. He emphasizes the importance of automating AI research and building modular systems. These advancements will not only make AI more efficient but also open up new possibilities for innovation.
Sara Hooker: Inclusiveness and Multimodal Models
Sara Hooker predicts that there will be an increased emphasis on inclusiveness in AI. She foresees developments in multimodal and multilingual models, allowing AI systems to understand and interact with humans in a more natural way. Furthermore, she highlights the importance of bridging the language gap in AI and encouraging global engagement in AI research.
Percy Liang: Openness and Governance
Percy Liang raises concerns about the decreasing openness in AI and advocates for rigorous assessments and governance. He suggests implementing the Foundation Model Openness Index to ensure transparency and accountability. Liang also emphasizes the need for democratic methods in value alignment and model building, and highlights the crucial role of assessment in AI technologies.
Sasha Luccioni: Human-Centric and Ethical AI
Sasha Luccioni advocates for a greater appreciation of human creativity and labor in the creation of AI. She emphasizes the ethical issues surrounding training data and the development process. Luccioni believes that AI systems should be more human-centric and transparent to ensure ethical practices and better outcomes.
Pelonomi Moiloa: Compact and Accessible AI
Pelonomi Moiloa focuses on overcoming the challenges of deploying AI in resource-limited environments. She aims to create AI models that are more compact, effective, and use less data. Moiloa believes that AI has the potential to solve global concerns and argues for AI systems that are accessible and helpful to a variety of groups.
Kevin Scott: Fast Development and Contemporary AI
Kevin Scott contemplates the fast-paced development of AI and the possibilities of contemporary generative AI. He emphasizes the importance of keeping up with the latest advances in AI and experimenting with new tools. By harnessing the full capabilities of AI, Scott believes that we can unlock even more potential in this rapidly evolving field.
As we look forward to the year 2024, these predictions provide a glimpse into the exciting breakthroughs that await us in the world of artificial intelligence. From automation and inclusiveness to openness and ethical considerations, the future of AI is poised to revolutionize numerous industries and shape the way we interact with technology.