The United States and China have collaborated most on AI research over the past 12 years. Pattern recognition, machine learning, and computer vision are the most popular topics for AI research.
The number of incidents involving the misuse of AI is growing rapidly. According to the AIAAIC database, which tracks incidents involving the ethical misuse of artificial intelligence, the number of incidents in 2021 has increased by a factor of 26 since 2012.
Analysis of legislative documents from 127 countries showed that the number of bills containing "artificial intelligence" passed into law increased from 1 in 2016 to 37 in 2022. Analysis of parliamentary documents on AI in 81 countries also showed that the number of mentions of AI in global legislative procedures has increased almost 6.5 times since 2016.
Importance of AI solutions to organizations overall success worldwide in 2022
AI is used by businesses in many different ways. Overall, the most common uses of AI include process automation (39%), machine vision (34%), text recognition (33%), and virtual assistants (33%).
In 2022, the most common uses of AI were service optimization (24%), creating new products based on AI (20%), customer segmentation (19%), customer service analytics (19%), and product enhancements (19%).
Importance of AI solutions to organizations overall success worldwide in 2022
In 2022, Stanford University AI Index Report respondents cited cybersecurity as the most significant risk to AI adoption. Regulatory compliance, personal privacy, and accountability were the next most frequently cited risks.
In every sector in the US for which data are available (except for agriculture, forestry, fishing, and hunting), the number of AI-related job postings has increased on average from 1.7% in 2021 to 1.9% in 2022.
In 2022, the top three countries for jobs requiring AI skills were the United States (2.1%), Canada (1.5%), and Spain (1.3%).
AI & ML market size estimate ($B) by segment
Investments in AI, $ billion
Private investment in AI by geographic area, 2023, $ billion
§The number of venture deals across the AI & ML vertical amounted to 7,063 in 2023, growing at a CAGR of 20.3%. The total volume of venture investments in the AI & ML market amounted to $80.74B in 2023.
AI & ML market size estimate ($B) by segment
The AI & ML market is divided into 4 main segments:
Horizontal platforms
Vertical applications
Autonomous machines
In terms of operational and financial performance, product development stage, volume of raised capital, investor base, as well as other indicators, the following tech companies are leaders in their segments:
ChatGPT is an AI language model designed for interactive and informative conversations. It is developed by OpenAI and trained on extensive text data to provide helpful information, answer questions, and assist with various tasks.
Midjourney has developed a text-to-image model for Discord. Users can make image requests accompanied by text and choose from four options.
Waymo, Alphabet's subsidiary, pioneers unmanned vehicle technologies. The company's two main products are the ride-hailing service Waymo One and commercial cargo transportation Waymo Via.
DeepL is an online machine translation service by DeepL GmbH. DeepL provides translation services using convolutional neural networks. DeepL is available as a web-browser version and desktop and mobile applications for iOS and Android.
Looka, a graphic design platform, utilizes artificial intelligence to generate unique logo options and branding by analyzing user preferences and design trends through machine learning algorithms.
Pictory is an AI platform that automates video content creation. It uses vast resources like voices, articles, visuals, and scripts to customize and create videos efficiently. Pictory condenses long videos into summaries and offers voice-over options. SEO parameters are adjustable, optimizing titles, descriptions, and timings. It's an all-in-one solution for seamless video creation and promotion.
Melobytes is an AI-powered online platform that enables users to explore their creativity in music and visual media. It offers intuitive tools for creating and editing music, making music composition accessible to all, regardless of musical background.
GitHub Copilot is an AI tool by GitHub and OpenAI that assists developers in writing code. It leverages the OpenAI Codex model, a descendant of GPT-3, to understand and generate code based on user input. It offers comment analysis, code completion, and defining algorithms. The training dataset includes natural language and billions of lines of source code from public GitHub repositories.
AlphaGo, developed by DeepMind, is a revolutionary computer program for playing Go. It made history by defeating a professional Go player and a world champion, marking a significant milestone. Go is an exceptionally intricate game, with more positions than atoms in the observable universe. Unlike chess, Go presents a formidable challenge for computers to conquer.
Artificial General Intelligence (AGI), or Strong AI, is a theoretical description of a particular form of AI with human-like intelligence, self-awareness, and the ability to solve a wide range of intellectual problems, learn, and plan future actions.
The 3 types of Artificial Intelligence:
Key characteristics and capabilities
A true AGI must be able to perform human-level tasks and abilities that no existing computer can achieve. Today, AI can perform many tasks, but not at the level of success that would allow it to be attributed to human or general intelligence.
The core concepts of AGI include:
Future prospects:
Download the full version of the report