Artificial intelligence, and more specifically machine learning, is being deployed in the insurance space in some very exciting ways -- from assessing underwriting risks to determining pricing to evaluating claims. But with these advances come sizable risks, some of which are already surfacing. Insurers need to take a proactive approach to mitigate risks so that they don't wind up experiencing the same financial and reputational difficulties that other industries have seen. In 2019, Apple launched a branded credit card in partnership with Goldman Sachs. Before long, users noticed that women were generally being offered lower preapproved credit lines than men.

The previous post on "Technology Regulation: Risk-based approaches to Artificial Intelligence governance, Part I" discussed recent advancements in AI technologies that have led to new commercial applications with potentially adverse social implications. We also considered the challenges of AI governance and discussed the role of technical benchmarks for evaluating AI systems. In this post, we will explore the different AI risk assessment approaches that can underpin AI regulation. This post will conclude with a discussion on the next steps for national AI governance initiatives. Risk assessments can help identify the AI systems that need to be regulated.

SWITZERLAND, GENEVA – Singapore announced that its work in Artificial Intelligence (AI) Governance and Ethics has won a top award at the prestigious World Summit on the Information Society (WSIS) Prizes1. The winners of the 18 categories2 of the WSIS Prizes were announced today during an award ceremony at the annual WSIS Forum held in Geneva, Switzerland. Singapore won in the "Ethical Dimensions of the Information Society" category, beating four other finalists3 across the globe. Info-communications Media Development Authority (IMDA) Assistant Chief Executive (Data Protection and Innovation) Yeong Zee Kin received the prize at the ceremony in Geneva. Singapore's AI Governance and Ethics initiatives aim to build an ecosystem of trust to support AI adoption. These initiatives advance Singapore's vision to be a leading Digital Economy and Smart Nation through balancing business innovation and consumer trust and confidence in adopting AI.

This is an age of artificial intelligence (AI) driven automation and autonomous machines. The increasing ubiquity and rapidly expanding potential of self-improving, self-replicating, autonomous intelligent machines has spurred a massive automation driven transformation of human ecosystems in cyberspace, geospace and space (CGS). As seen across nations, there is already a growing trend towards increasingly entrusting complex decision processes to these rapidly evolving AI systems. From granting parole to diagnosing diseases, college admissions to job interviews, managing trades to granting credits, autonomous vehicles to autonomous weapons, the rapidly evolving AI systems are increasingly being adopted by individuals and entities across nations: its government, industries, organizations and academia (NGIOA). Individually and collectively, the promise and perils of these evolving AI systems are raising serious concerns for the accuracy, fairness, transparency, trust, ethics, privacy and security of the future of humanity -- prompting calls for regulation of artificial intelligence design, development and deployment.

This is an age of artificial intelligence (AI) driven automation and autonomous machines. The increasing ubiquity and rapidly expanding potential of self-improving, self-replicating, autonomous intelligent machines has spurred a massive automation driven transformation of human ecosystems in cyberspace, geospace and space (CGS). As seen across nations, there is already a growing trend towards increasingly entrusting complex decision processes to these rapidly evolving AI systems. From granting parole to diagnosing diseases, college admissions to job interviews, managing trades to granting credits, autonomous vehicles to autonomous weapons, the rapidly evolving AI systems are increasingly being adopted by individuals and entities across nations: its government, industries, organizations and academia (NGIOA). Individually and collectively, the promise and perils of these evolving AI systems are raising serious concerns for the accuracy, fairness, transparency, trust, ethics, privacy and security of the future of humanity -- prompting calls for regulation of artificial intelligence design, development and deployment.

The role of many chief information officers is changing, as organization strategies move from data governance initiatives to artificial intelligence governance. That is placing new pressure on CIOs to take a more advisory role in what is for many is still cutting-edge technology. But this is welcome news and brings new opportunities for those that are successful. That was the message of Jean-François Gagné, chief executive officer at Element AI, at the Strata Data Conference in New York this week. Gagné spoke on the topic "From data governance to AI governance: The CIO's new role."

In response to the rising global concerns about artificial intelligence, Washington DC area based American Institute of Artificial Intelligence has pioneered a multidimensional and comprehensive governance framework and product for artificial intelligence governance. The Institute is announcing the launch of the artificial intelligence governance framework. The American Institute of Artificial Intelligence is announcing the launch of the world's first and most comprehensive Artificial Intelligence Governance Model and product. Built by performing comprehensive literature reviews and analysis from several fields (Political Science, Sociology. Economics, Philosophy, Computer Science, Ethics, Theology, Law, Communications, Business, Finance, Neuroscience, and many others), the AI Governance Model is designed to address thousands of data points through multi-dimensional analysis.