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Accelerating the societal benefits of artificial intelligence and machine learning while ensuring equity, privacy, transparency, accountability and social impact.
Artificial intelligence (AI) is a key driver of the Fourth Industrial Revolution. Its effect can be seen in homes, businesses, schools and even public spaces, enabling advances in autonomous driving, energy efficiency, and even facilitating better care for the young and elderly. AI holds the promise of solving some of society’s most pressing issues, but also presents challenges such as inscrutable “black box” algorithms, unethical use of data and potential job displacement.
As rapid advances in machine learning (ML) increase the scope and scale of AI’s deployment across all aspects of daily life, multistakeholder collaboration is required to optimize accountability, transparency, privacy and impartiality to create trust.
Our Platform brings together key stakeholders from the public and private sectors to co-design, test and implement policy frameworks that accelerate the benefits and mitigate the risks of AI and ML.
Project areas include standards for protecting children, predicting and mitigating wildfires, and addressing the unique challenges of facial recognition technology.
Our Partners comprise the world's 1000 leading companies, developing solutions to the world's greatest challenges.
The AI for Agriculture Innovation initiative is transforming the agriculture sector in India by promoting the use of artificial intelligence and other technologies.
The World Economic Forum and Rwanda are promoting the adoption of new technologies in the country to drive innovation on data policy and artificial intelligence.
A collaboration convened by the World Economic Forum has formed a global consensus for baseline IoT security measures to protect consumers.
The C4IR Network centres are building scalable models to positively pilot and integrate regulations in law and industry standards.
Responsible AI holds the promise of making organizations 40% more efficient by 2035, unlocking an estimated $14 trillion in new economic value, all while dramatically improving the lives ...
The World Economic Forum’s Centre for the Fourth Industrial Revolution, in partnership with the UK government, has developed guidelines for more ethical and efficient government procureme...
The World Economic Forum’s Centre for the Fourth Industrial Revolution Network is working with governments, technology experts, NGOs and leading companies around the world to enable emerg...
A roadmap to enable and accelerate equitable development of quantum ecosystems globally This initiative is part of the World Economic Forum's Quantum Economy Network.THE CHALLENGEQuantum ...
Creating actionable guidelines to address human rights concerns arising from the use of facial recognition technology The challengeThe development of facial recognition technology (FRT) p...
World Economic Forum: Creation of an overarching ethics framework for the design, development and deployment of artificial intelligence in India, along with self-assessment guidelines for...
Harnessing the transformative potential of artificial intelligence by accelerating the adoption of trusted, transparent and inclusive AI systems globally. The challengeAs the transformati...
How should technology providers, the medical community and healthcare regulators come together to ensure that chatbots provide beneficial outcomes for healthcare? What approaches and tool...
Actionable guidelines to educate, empower and protect children and youth in the age of artificial intelligenceThe challenge From robotic toys and social media to the classroom and home, ...
The ChallengeNearly all C-suite executives view artificial intelligence (AI) as an enabler in developing a digital mindset and enterprise culture that drives real-time insights into busin...
The challenge The pervasive use of technology is triggering a spirited debate over how new technologies should be managed and governed. As governments struggle to keep up with the unprec...
Combining artificial intelligence, data and fire-fighting resources to mitigate wildfire risks throughout the world The challengeWildfire severity, spread and frequency have all increased...
By deploying the right intelligent manufacturing technologies such as AI, manufacturers can boost efficiency, improve agility, and enable self-optimizing operations. Yet, only about 9% of...
Toolkits for corporate executives to identify the benefits of AI and how to operationalize it in a responsible wayThe challengeArtificial intelligence (AI) is the software engine that dri...
The Challenge:Many institutions have focused their attention and resources on security, data protection and privacy. Not only has this approach failed to harness the full value of data, b...
The ChallengeThe development and use of artificial intelligence (AI) technologies can bring about many benefits – from transforming businesses and improving labour productivity to enhanci...
Wildfire severity, spread and frequency have all increased because of climate change. This poses a growing threat to forest ecosystems and high-risk rural areas. Critical services such as...
Artificial intelligence (AI) can enable a new era in the digital transformation journey, offering tremendous potential to transform industries for greater efficiency, sustainability and w...
The World Economic Forum’s governance framework for the responsible use of facial recognition in law enforcement investigations addresses the need for a set of concrete guidelines to ensu...
The World Economic Forum Responsible Use of Technology project aims to help bring the worlds of business, civil society and government together by providing leaders with practical tools t...
Future Focus 2025: Pathways for Progress from the Network of Global Future Councils 2020-2022 offers a positive and inspiring agenda around which a sustainable and inclusive recovery can ...
Artificial intelligence (AI) has great potential to benefit society, but the technology’s full potential can only be realized if it is representative of the diversity of populations it im...
In 2021, the Centre for the Fourth Industrial Revolution Brazil implemented the AI Procurement in a Box Guidelines in two unprecedented pilots, one with the Metrô de São Paulo and the oth...
In this insight report, the World Economic Forum’s Artificial Intelligence and Machine Learning platform, in close collaboration with the Centre for the Fourth Industrial Revolution in Rw...
A toolkit designed to help companies develop trustworthy AI for children and youth and to help parents, guardians, children and youth responsibly buy and safely use AI products.
This paper outlines the first set of governance principles for the responsible design and adoption of quantum computing technology.
This toolkit provides a one-stop place for corporate executives to identify and understand the multiple and complex issues that AI raises for their business and society. It provides a pra...
To help organizations overcome challenges in HR, the World Economic Forum collaborated with over 50 experts in HR, data science, employment law, and ethics to create a practical toolkit f...
Learn how global organizations are operationalizing responsible AI in healthcare.
Drawing from workshops and interviews with more than 150 thought leaders from a variety of different fields, this report aims to start a discussion about what positive AI economic futures...
The field of AI governance has grown rapidly over the last five years with an immediate challenge to ensure responsible application and practices.
This report provides principles for the responsible use of facial recognition in law enforcement investigations and a self-assessment questionnaire to ensure compliance with the principles.
The report can be used by diverse organizations to guide them in educating teams about their role in advancing AI fairness.
This White Paper is the second in a series that highlights processes, tools and organizational constructs that facilitate the responsible design, development and implementation of technol...
Driven by declining fertility and increased life expectancy, the global population aged 60 years and older is growing at a fast pace and is estimated to reach over 1.6 billion by 2050. Ar...
This whitepaper explores the potential of AI for the energy transition and establishes a set of principles to help the energy industry govern and scale AI technology in a rapid, safe and ...
This paper is the first in a series of case studies that investigate how companies have begun to incorporate ethical thinking into the development of technology. It focuses on Microsoft C...
Part II Pilot phase: Self‑assessment, the audit management system and certification - The World Economic Forum’s tested toolkit and certification framework for the responsible use of faci...
Ethics by Design: An organizational approach to the responsible use of technology integrates key insights from psychology and behavioural economics with findings from market research and ...
When a new technology is introduced in healthcare, especially one based on AI, it invites meticulous scrutiny. The COVID-19 pandemic has accelerated the adoption of chatbots in healthcare...
The World Economic Forum’s Frameworks for Reimagining Regulation at the Age of AI seek to address the need for upgrading our existing regulatory environment to ensure the trustworthy desi...
This project provides a guidebook designed to unlock public-sector adoption of AI through government procurement and a set of complementary tools to demonstrate the emerging global consen...
The World Economic Forum’s Framework for the Responsible use of facial recognition technology seeks to address the need for a set of concrete guidelines to ensure the trustworthy and safe...
Over the past decade, artificial intelligence (AI) has emerged as the software engine that drives the Fourth Industrial Revolution, a technological force affecting all disciplines, econom...
There are many potential benefits to the application of Artificial Intelligence (AI) technologies, including the reduction of economic inefficiencies and increase in high-skilled jobs. Th...
AI’s technological advances are expected to disrupt numerous legal frameworks, including various aspects of US patent law.
Healthcare innovation is accelerating at an unprecedented scale, the WHO says. From AI to gene editing, here are 5 innovations that are pushing boundaries.
Predictive-learning models have been around for decades, but what is new about ChatGPT is the way it is trained, giving it access to larger sets of data.
