The Bible of AI™

International scientific and technical publication on Artificial Intelligence | ISSN 2695-6411 | Officially founded in September, 2019

AI Institutional public guides

This page is currently being updated. Please consider this provisional version. June, 2020


European Union

“Citizens should be empowered to make better decisions based on insights gleaned from non-personal data. And that data should be available to all – whether public or private, big orsmall, start-up or giant. This will help society to get the most out of innovation and competition and ensure that everyone benefits from a digital dividend. This digital Europe should reflect the best of Europe – open, fair, diverse, democratic, and confident”.


Institute of Electrical and Electronics Engineers

IEEE

“As the use and impact of autonomous and intelligent systems (A/IS) become pervasive, we need to establish societal and policy guidelines in order for such systems to remain human-centric, serving humanity’s values and ethical principles. These systems must be developed and should operate in a way that is beneficial to people and the environment, beyond simply reaching functional goals and addressing technical problems. This approach will foster the heightened level of trust between people and technology that is needed for its fruitful use in our daily lives”.


The Royal Society

“The ability to investigate and appeal decisions that have a significant impact on an individual is central to systems of accountability, and the goal of some current regulatory approaches. In this context, explainable AI can contribute to systems of accountability by providing users with access to information and insights that allow them to appeal a decision or alter their behaviour to achieve a different outcome in future”.


Biometrics Institute’s

The seven Ethical Principles
The Biometric Institute’s mission is to ensure the responsible and ethical use of biometrics and biometrics analytics: hence our creation of Privacy Guidelines, other guidelines about researching, selecting, securing, implementing and testing of biometrics and now, a codified set of Ethical Principles for our members to observe. The Ethical Principles are also a clear indication to users and the general public of the Biometrics Institute’s commitment to promote ethical principles amongst all its members. This has been compiled by a diverse group of our members including our Privacy Expert Group, biometrics experts and government employees”.


Alan Turing Institute

“In order to manage these impacts responsibly and to direct the development of AI systems toward optimal public benefit, you will have to make considerations of AI ethics and safety a first priority. This will involve integrating considerations of the social and ethical implications of the design and use of AI systems into every stage of the delivery of your AI project. It will also involve a collaborative effort between the data scientists, product managers, data engineers, domain experts, and delivery managers on your team to align the development of artificial intelligence technologies with ethical values and principles that safeguard and promote the wellbeing of the communities that these chnologies affect”.


The Committee on Standards in Public Life

“Artificial intelligence has the potential to revolutionise the delivery of public services, creating an opportunity for more innovative and efficient public service delivery. Machine learning in particular will transform the way decisions are made in areas as diverse as policing, health, welfare, transport, social care, and education. This review found that the Nolan Principles are strong, relevant, and do not need reformulating for AI”.


The Library of Congress

This report examines the emerging regulatory and policy landscape surrounding artificial intelligence (AI) in jurisdictions around the world and in the European Union. In addition, a survey of international organizations describes the approach that United Nations agencies and regional organizations have taken towards AI. As the regulation of AI is still in its infancy, guidelines, ethics codes, and actions by and statements from governments and their agencies on AI are also addressed. While the country surveys look at various legal issues, including data protection and privacy, transparency, human oversight, surveillance, public administration and services, autonomous vehicles, and lethal autonomous weapons systems, the most advanced regulations were found in the area of autonomous vehicles, in particular for the testing of such vehicles.

%d bloggers like this: