OpenAI’s introduction of its large language model ChatGPT has sparked conversations about the consequences of the global AI experiment. The sentiment that we’re moving too fast is reflected in an open letter calling for a pause in AI research. The lack of transparency from corporations deploying AI technology is a concern for AI luminaries. Research and deployment of AI continue, despite the call for a pause. The need for regulations and AI ethics and governance programs is becoming evident, as AI becomes essential across various domains. The European Union’s proposed Artificial Intelligence Act addresses some risks but doesn’t specifically address generative AI and traceability. Jaron Lanier suggests labeling machine-generated content to credit human contributions and ensure data dignity. The integration of AI into our lives requires careful consideration and regulations to ensure a safe and prosperous future.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Open letter calling for a pause in AI research | From fast-paced AI research to a potential pause | AI research and deployment will be more regulated and transparent | Concerns about lack of transparency and ethics in AI deployment |
| AI becoming essential across domains | From limited AI application to widespread adoption | AI will be integrated into various industries and sectors | Increasing demand for AI technology and its benefits |
| Challenges in creating regulations for AI | From lack of regulations to the establishment of AI regulations | Governments will create regulations for AI deployment | Tech CEOs’ call for regulations and addressing ethical concerns |
| Importance of trustworthiness in AI | From lack of trust in AI to emphasis on trustworthiness | Addressing the provenance of information and traceability in AI | Need to prevent misinformation and maintain consensus |
| EU’s proposed Artificial Intelligence Act | From unregulated AI applications to regulated and banned applications | AI applications will be categorized based on risk and regulated accordingly | EU’s initiative to ensure AI safety and minimize risks |
| Lack of regulation for generative AI | From unregulated generative AI to potential regulation and traceability | Generative AI systems will have traceability and data sources will be credited to humans | Concerns about the origin and ethical implications of generative AI |
| Development of the concept of “data dignity” | From lack of recognition for human contributions to crediting human contributions in AI | Humans will be credited for their contributions in AI-generated content | Recognition of the value of human input in AI systems |
| Importance of human responsibility in AI integration | From AI being solely responsible to human responsibility in AI integration | Humans and their actions will determine the future of AI integration | Need for humans to ensure a safe and prosperous future with AI. |