7 Indicators Of The State-Of-Artificial Intelligence
Recent research and news on the state of artificial intelligence (AI) highlights seven important trends:
- Chinese AI researchers are set to overtake their US counterparts in terms of the number of published scientific papers that have a significant impact on the field. The Allen Institute for Artificial Intelligence predicts that by 2020, China will produce more top 10% AI papers than the US, and by 2025 it will also produce more top 1% studies.
- The vast majority (over 70%) of companies want to invest more in AI and machine learning, also in the form of cybersecurity tools. However, few business leaders and cybersecurity experts seem to really understand these technologies (Celonis and Webroot).
- A majority of people is still concerned about AI taking over most jobs, although a substantial minority wouldn’t mind putting AI in charge of making important governance-related decisions (IE University).
- An AI tech bubble is forming, with investors ready to throw billions or even trillions of dollars at startups merely because they claim to work on AI.
- Deep Learning has finally received official recognition as the central AI paradigm.
- AI is still far from perfect, and may always remain flawed.
- Major educational institutions are increasingly committed to advance human-centered AI research.