Collaborating Authors

Artificial intelligence kept expanding through a turbulent year, with some exceptions


The year 2020 may have been one of turmoil and uncertainty across the globe, but artificial intelligence remained on a steady course of growth and further exploration -- perhaps because of the Covid-19 crisis. Healthcare was a big area for AI investment, and concerns about diversity and ethics grew -- but little action has been taken. Most surprisingly of all, while AI job growth accelerated across the world, it flattened in the US. These are among the key metrics of AI tracked in the latest release of the AI Index, an annual data update from Stanford University's Human-Centered Artificial Intelligence Institute. The index tracks AI growth across a range of metrics, from degree programs to industry adoption.

Artificial Intelligence Innovation - top 15 countries 1990 - 2020


Publications, citations, conference papers, awards, patents and investment are all indicators of innovation in a given field. While there is no perfect measure, we chose the peer-reviewed publications in AI journals as a compromise between history of data, completeness, reliability and coherence. This video shows the trends of artificial intelligence innovation worldwide by country based on this measure, from the AI Index report 2019. Artificial intelligence, machine learning and deep learning in particular are transforming all industries enabling people to perform tasks better and faster, make better decisions, optimizing processes, or automating tasks among others. With the fast growth in compute power and data availability, complex algorithms can learn and extract information from huge amounts of data - big data - that humans cannot.

Government AI Readiness Index 2019 -- Oxford Insights -- Oxford Insights


Artificial intelligence (AI) technologies are forecast to add US$15 trillion to the global economy by 2030. According to the findings of our Index and as might be expected, the governments of countries in the Global North are better placed to take advantage of these gains than those in the Global South. There is a risk, therefore, that countries in the Global South could be left behind by the so-called fourth industrial revolution. Not only will they not reap the potential benefits of AI, but there is also the danger that unequal implementation widens global inequalities. AI has the power to transform the way that governments around the world deliver public services. In turn, this could greatly improve citizens' experiences of government. Governments are already implementing AI in their operations and service delivery, to improve efficiency, save time and money, and deliver better quality public services. In 2017, Oxford Insights created the world's first Government AI Readiness Index, to answer the question: how well placed are national governments to take advantage of the benefits of AI in their operations and delivery of public services? The results sought to capture the current capacity of governments to exploit the innovative potential of AI. The 2019 Government AI Readiness Index, produced with the support of the International Development Research Centre (IDRC), sees a development of our methodology, and an expansion of scope to cover all UN countries (from our previous group of OECD members). It scores the governments of 194 countries and territories according to their preparedness to use AI in the delivery of public services. The overall score is comprised of 11 input metrics, grouped under four high-level clusters: governance; infrastructure and data; skills and education; and government and public services. The data is derived from a variety of resources, ranging from our own desk research into AI strategies, to databases such as the number of registered AI startups on Crunchbase, to indices such as the UN eGovernment Development Index. We divided the countries by region, principally following UN groupings, with the chief exception of the Western European and Others Group, which we separated to allow more in-depth analysis of higher scoring governments.

Introducing the AI Index 2019 Report


We're excited to release the AI Index 2019 Report, one of the most comprehensive studies about AI to date. Because AI touches so many aspects of society, the Index takes an interdisciplinary approach by design, analyzing and distilling patterns about AI's broad global impact on everything from national economies to job growth, research and public perception. The purpose of the project is to ground the discussion on AI in data, serving practitioners, industry leaders, policymakers and funders, the general public and the media that informs it. An independent initiative within Stanford University's Human-Centered Artificial Intelligence Institute, the report is in its third year and is the result of a collaborative effort led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry, in collaboration with more than 35 sponsoring partners and data contributors. The first two reports established the Index as the preeminent source of data about AI.

Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models Artificial Intelligence

The fast pace of artificial intelligence (AI) and automation is propelling strategists to reshape their business models. This is fostering the integration of AI in the business processes but the consequences of this adoption are underexplored and need attention. This paper focuses on the overall impact of AI on businesses - from research, innovation, market deployment to future shifts in business models. To access this overall impact, we design a three-dimensional research model, based upon the Neo-Schumpeterian economics and its three forces viz. innovation, knowledge, and entrepreneurship. The first dimension deals with research and innovation in AI. In the second dimension, we explore the influence of AI on the global market and the strategic objectives of the businesses and finally, the third dimension examines how AI is shaping business contexts. Additionally, the paper explores AI implications on actors and its dark sides.