Gender equality in AI applications paves the way to a Swedish welfare model 3.0
In 1919, Swedish women won the right to vote. Since then, Sweden has been a leading voice internationally in advocating for women’s rights. In the AI era this gender advancement is threatened by the possibility of bias and discrimination in AI models. Algorithms designed based on historic data risk unintentionally making decisions based on historically.. ...
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January 18, 2021 | Stockholm, Sweden AI Sustainability Center Announces Christer Forsberg Philip as Chief Executive Officer The AI Sustainability Center is proud to announce Christer Forsberg Philip as the new Chief Executive Officer. Christer is one of Sweden’s leading experts on digital transformation. He has vast experience in implementing AI and data driven technologies,.. ...
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21 December 2020 | Stockholm, Sweden Jämställdhetsmyndigheten och AI Sustainability Center lanserar ett unikt pilotprojekt om AI-utveckling och jämställdhet på statliga myndigheter Riskerar självlärande datorprogram att leda till jämställdhetsproblem när Artificiell Intelligens (AI) införs hos myndigheter? Det ska Jämställdhetsmyndigheten söka svar på i ett pilotprojekt om att upptäcka och mäta möjliga risker med AI-applikationer när.. ...
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December 21, 2020 | Stockholm, Sweden The Swedish Gender Equality Agency and the AI Sustainability Center launch unique pilot project on AI and gender equality within government agencies Does the use of AI in the public sector risk amplifying gender inequality? The Swedish Gender Equality Agency seeks to answer this question in a pilot project.. ...
Five reasons why you need to detect ethical risks in your AI applications and how you can get started
“Trust takes years to build, seconds to break, and forever to repair.” I believe in active decision making. In this data-driven AI era, this is more important than ever. Why? Because without an integrated technical, legal and societal approach, data driven technologies and AI might scale in a way that contradicts our values. For.. ...
Bringing Explainable AI (XAI) to Medicine
In academics, industry, and socio-political circles, the interest in Explainable AI (XAI) has been booming. Traditional black box models that are non-transparent and untraceable, with little or no ability to understand the how’s and why’s an AI comes to its decisions, are increasingly criticized. In many domains which demand accountability and transparency, an AI is.. ...
In the rush toward tech tools to manage COVID-19, societal and ethical risks must be center stage
Written by Elaine Weidman Grunewald and Anna Felländer We are in a defining moment. The global coronavirus pandemic has now affected three million people globally, and the world is desperately seeking ways to manage its toll on society. The speed and depth of the pandemic is forcing us to adopt drastic crisis management strategies. Using.. ...
The socio-legal relevance of artificial intelligence
Written by Stefan Larsson, Associate Professor at LTH, Lund University Affiliated researcher at AI Sustainability Center What is a socio-legal dilemma? Basically, when you need a deeper understanding of a phenomenon than simply classifying it as legal/illegal, which is particularly important in times of technological change. For example, a decade ago, technological developments completely.. ...
Why ‘do no harm’ must always guide the use of AI in healthcare
Written by Li Felländer-Tsai, MD, PhD Professor and senior consultant Karolinska Institutet and Karolinska University Hospital Why ‘do no harm’ must always guide the use of AI in healthcare Advanced technologies such as e.g. artificial intelligence (AI) create unprecedented opportunities and great expectation in healthcare. New interactions between man and machine arise. However,.. ...
Debugging the AI gender bias bug
A friend of mine, Robin Hauser, told me that when she did research for her award winning film, CODE: Debugging the Gender Gap, she asked a lot of questions to every day people, and found that most people didn’t know what unconscious bias was, and perhaps more disturbing, 99% of people said that they themselves.. ...
AI could mean we’re on the brink of an unprecedented historical shift in human development
The fast development in artificial intelligence means that we may be on the brink of an unprecedented historical shift in the human development, for which we need to be prepared. In a new and important report, the AI Sustainability Center highlights the need for more multidisciplinary research in this area. The 18th century saw the.. ...
Putting Ethics into action at Telia Company
The public and industry dialog around Artificial Intelligence (AI) has shifted considerably in the last couple of years as more companies are embracing the benefits, and applications have become more visible in daily lives. And at the same time, multiple examples of negative unintended consequences have emerged, together with a deeper understanding of the various.. ...
Ethics, AI, and Tech for Good 2.0
The word ethics is laden with subjectivity, and often shunned by businesses for being “too fluffy.” We all strive for good moral and ethical behavior, but achieving that without too much of one’s own individual subjectivity is difficult, especially in global businesses, where cultural norms and moral codes are different in different parts of the.. ...
