AI is changing the face of the banking industry. How can banks meet the governance challenges and take advantage of this game-changing technology? To create this report, the EIU conducted a global regulatory review of over 25 reports and summarized the main issues raised by regulators on the topic of managing AI risks in banking. These documents were published in the last three years by banking and financial sector supervisory authorities, central banks and supranational institutions, universities and consultancies.

Katya is a managing editor for financial services within The Economist Intelligence Unit's thought leadership division in EMEA. She previously worked as an editor-economist for the EIU's Country Analysis department as a specialist on Central and Eastern Europe. Prior to joining The Economist Group, Katya worked for some of the world's largest banks, and before that she worked as a specialist on the EMEA region for two UK-based risk management consultancies. She started her career in academia, at the UCL School of Slavonic and East European Studies. Katya has spoken to leading media and news outlets, such as the BBC, CNBC Arabiya, the Financial Times, The Guardian, City A.M; and she has also presented at and moderated numerous public round-tables, lectures and discussion panels.

We need to discuss the systems in which it will be a critical component, Genevieve Bell, Katherine Daniell, and Amy McLennan write. Defining artificial intelligence (AI) is messy. Ask 10 experts to define AI and you will get 10 different answers. It is easy to think that the most important policy question, then, is a definitional one that tidies up the mess: what is AI? But AI is not a singular thing.

Research article: Soft ethics, the governance of the digital and the General Data Protection Regulation Luciano Floridi Research article: The fallacy of inscrutability Joshua A. Kroll Opinion piece: Constitutional democracy and technology in the age of artificial intelligence Paul Nemitz Research article: Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making Vidushi Marda Research article: Algorithms that remember: model inversion attacks and data protection law Michael Veale, Reuben Binns, Lilian Edwards Research article: Ethical governance is essential to building trust in robotics and artificial intelligence systems Alan F. T. Winfield, Marina Jirotka Research article: Apples, oranges, robots: four misunderstandings in today's debate on the legal status of AI systems Ugo Pagallo Research article: Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem Jaron Harambam, Natali Helberger, Joris van Hoboken

Technology companies should find effective channels of communication with local civil society groups and researchers, particularly in geographic areas where human rights concerns are high, in order to identify and respond to risks related to AI deployments. Technology companies and researchers should conduct Human Rights Impact Assessments (HRIAs) through the life cycle of their AI systems. Toolkits should be developed to assess specific industry needs. Governments should acknowledge their human rights obligations and incorporate a duty to protect fundamental rights in national AI policies, guidelines, and possible regulations. Governments can play a more active role in multilateral institutions, like the UN, to advocate for AI development that respects human rights.

Artificial intelligence (AI) could increase global GDP by $15.7 trillion by 2030, according to PricewaterhouseCoopers. The prevalence of AI in modern society is growing at a rapid pace–and the Federal government needs to keep up. On April 24, the Brookings Institution released a deep dive report on AI. After examining the multitude of sectors AI is impacting, the report offers steps the Federal government should take to get the most out of AI while still protecting important human values. In the realm of AI, China is outspending the United States.

Artificial intelligence (AI) could increase global GDP by $15.7 trillion by 2030, according to PricewaterhouseCoopers. The prevalence of AI in modern society is growing at a rapid pace–and the Federal government needs to keep up. On April 24, the Brookings Institution released a deep dive report on AI. After examining the multitude of sectors AI is impacting, the report offers steps the Federal government should take to get the most out of AI while still protecting important human values. In the realm of AI, China is outspending the United States.

The thid Geothink&Learn tackled issues surrounding the use of artificial intelligence and algorithms in governance.