PLEASE NOTE: that RSVPing to this page DOES NOT GRANT YOU ACCESS to this meetup, Spaces are limited! DESCRIPTION How do we design Ai systems that we trust? Algorithmic Bias, Algorithmic Transparency, Technological Unemployment, Data Privacy & Algorithmic Misinformation (fake news) are just some of the issues facing the fair and ethical use of Machine Learning. In collaboration with Microsoft for this DSAi special edition Ethics & Interpretability event - come along to learn from industry leaders how issues such as Algorithmic Bias might affect you & what is being done to address the ethical use of Machine Learning in 2019. 'Ethics for Artificial Intelligence' In this 20 minute presentation, Aurelie will provide a formal introduction as to what ethical and responsible AI is.
SAP SE (NYSE: SAP) today said it will offer a new course on the openSAP platform that focuses on the ethical implications when developing and interacting with artificial intelligence (AI). Creating Trustworthy and Ethical Artificial Intelligence, offered June 25 through July 24, is geared toward all leaders, professionals, developers and general users of AI technology. "The potential for AI and machine learning is great, and the technology has already had significant impact in automating tasks and efficiently analyzing data sets," said Bernd Welz, chief knowledge officer, SAP. "As this technology continues to evolve and becomes further engrained in our society, it's important that we take the necessary steps to ensure that its development and continued application are carried out in an ethical way. Through this course, we're showing learners how they can keep ethics in the forefront when developing AI- and machine learning–enabled technologies."
Facial recognition is becoming more pervasive in consumer products and law enforcement, backed by increasingly powerful machine-learning technology. But a test of commercial facial-analysis services from IBM and Microsoft raises concerns that the systems scrutinizing our features are significantly less accurate for people with black skin.
As artificial intelligence and machine learning become the new industry norm, tech giants and service providers across the world are riding the emerging tech wave. However, with its applicability to enhance services, AI and machine learning have become ubiquitous for any technological advancements. As the world acknowledges the inevitability of AI and ML, the conversation has, however, shifted to its ethics, with governments and lawmakers bringing out stringent policies regarding the applicability of the technology. In Europe, countries like the UK and France have put ethics at the core of AI, while laying out stronger compliance rules for tech giants to adhere to. Taking note of the latest developments, tech giants like Google and Facebook, among many other companies, have brought out their ethical policies regarding deployment of AI and ML within their organisations.