State of AI (Update)

AI is a fast-growing and evolving field that has many applications and implications for various domains and sectors. Here are some of the main points I found from the web about the state of AI in recent times:

Photo by Google DeepMind

• AI adoption has more than doubled since 2017, though the proportion of organizations using AI has plateaued between 50 and 60 percent for the past few years. A set of companies seeing the highest financial returns from AI continue to pull ahead of competitors by making larger investments in AI, engaging in increasingly advanced practices, and showing signs of faring better in the tight market for AI talent¹.
• - Large language models (LLMs) and multimodal models keep scaling in size and expense, requiring more computational power and energy to train and run. The heaviest carbon emitter by far was GPT-3, which cost an estimated $12 million to train and emitted 284 metric tons of CO2 equivalent².
• - Current AI tools keep meeting or beating benchmarks on various tasks, such as natural language understanding, computer vision, and speech recognition. This shows that AI systems have become increasingly capable on older benchmarks and will require more difficult tests to be fully challenged².
• - Reported issues and controversies related to AI, algorithmic, and automation use and misuse are 26 times greater in 2021 than in 2012. Some of these issues include deepfakes, face recognition, surveillance technology, bias, discrimination, privacy breaches, and ethical dilemmas².
• - Some of the biggest AI trends for 2023 include explainable AI, which aims to make AI systems more transparent and understandable; edge AI, which enables AI processing on devices without relying on cloud or internet connection; generative AI, which can create new content such as images, text, music, or code; neurosymbolic AI, which combines deep learning with symbolic reasoning; and trustworthy AI, which ensures that AI systems are reliable, safe, fair, and accountable³.

These are some of the highlights I found from the web about the state of AI in recent times. I hope you find them informative and interesting.

Sources

(1) The state of AI in 2022 — and a half decade in review | McKinsey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review.

(2) 2023 State of AI in 14 Charts — hai.stanford.edu. https://hai.stanford.edu/news/2023-state-ai-14-charts.

(3) The 5 Biggest Artificial Intelligence (AI) Trends In 2023 — Forbes. https://www.forbes.com/sites/bernardmarr/2022/10/10/the-5-biggest-artificial-intelligence-ai-trends-in-2023/.