This collaboration will increase diversity in the AI tech space where women have been historically excluded. The Finnish Center for Artificial Intelligence (FCAI) and Women in AI Ethics (WAIE) have announced their partnership to increase diversity and ethics in AI. Both organizations focus on empowering people to solve real-life problems through AI that's designed and deployed in an ethical and trustworthy manner. This alliance will increase representation of diverse voices from the Nordic region in the WAIE directory, an online resource to help recruiters and event organizers find diverse talent, and open up opportunities for these talented women to be recognized through WAIE's highly regarded annual "100 Brilliant Women in AI Ethics" list. This international collaboration will include co-hosting of educational workshops by diverse leaders in the AI ethics space, offering a critical lens for real-world solutions. It will also provide a virtuous cycle of mentorship opportunities for FCAI's faculty as well as students and WAIE's rich network of women as well as non-binary folks who are in all stages of their AI ethics careers to inspire others from marginalized communities to join this important space.

In October, the Forum for Cooperation on Artificial Intelligence (FCAI), a multistakeholder dialogue among high-level government officials and experts from industry, civil society, and academia, released an interim report taking stock of the current landscape for international cooperation on AI and offering recommendations to make further progress. FCAI publicly launched the report as part of Brookings' Global Forum on Democracy and Technology event, Aligning technology governance with democratic values. UK Secretary of State Digital, Culture, Media and Sport, Nadine Dorries, praised the "excellent" report as a "helpful step in [the] process" of building international AI collaboration while discussing her government's role in its presidency of the G7 group and its upcoming Future Tech Forum. To discuss the report, Brookings co-authors Cam Kerry and Josh Meltzer, and Andrea Renda of the Centre for European Policy Studies (CEPS) welcomed a panel featuring representatives from the governments of Australia, Canada, and the United States, as well as industry representatives from IBM and Twitter. While the entire event and panel discussion around the report can be found here, for some unfamiliar with the FCAI, this blog will serve as an introduction to the Forum and the new report.

Data driven technologies and "big data" are revolutionizing many industries. However, in many areas of research – including health and drug development – there is too little data available due to its sensitive nature and the strict protection of individuals. When data are scarce, the conclusions and predictions made by researchers remain uncertain, and the coronavirus outbreak is one of these situations. "When a person gets sick, of course, they want to get the best possible care. Then it would be important to have the best possible methods of personalized healthcare available", says Samuel Kaski, Academy Professor and the Director of the Finnish Center for Artificial Intelligence FCAI.

Finnish Center for Artificial Intelligence FCAI is searching for exceptional postdoctoral researchers and research fellows interested in tackling challenges in machine learning and in creating artificial intelligence that is data-efficient, trustworthy, and understandable. FCAI is a vibrant research center for Artificial Intelligence in Helsinki, bringing together the expertise in AI research from both academia and industry. It was initiated by Aalto University, University of Helsinki, and VTT Technical Research Centre of Finland and has a total budget of 250 M€ over the next 8 years. FCAI is built on the long tradition and track record of decades of pioneering machine learning research in Helsinki. It was recently selected to host one of the first ELLIS (European Laboratory for Learning and Intelligent Systems) units that assemble European top talent in machine learning.

When researchers design machine learning systems, their goal is typically to automate certain functions. Instead of being fully autonomous, however, most of these systems work together with humans. In order to be truly helpful, they need to understand what goals people have. Researchers at the Finnish Center for Artificial Intelligence (FCAI) have now taken important steps towards designing AI that understands people. At first, the researchers taught the AI to build a model of its user--human or machine.

When researchers design machine learning systems, their goal is typically to automate certain functions. Instead of being fully autonomous, however, most of these systems work together with humans. In order to be truly helpful, they need to understand what goals people have. Researchers at the Finnish Center for Artificial Intelligence (FCAI) have now taken important steps towards designing AI that understands people. At first, the researchers taught the AI to build a model of its user--human or machine.

AI Day poster sessions highlight current, top-level research in fundamental AI methodologies as well as AI applications in industry and society. Coffee is served during the poster sessions.

How can we teach artificial intelligence to make unbiased decisions? How can we protect citizens' privacy when processing extensive amounts of data? Questions such as these need answers before the application of artificial intelligence and machine learning can be extended further. In spring 2018, inboxes filled to the point of frustration with messages from businesses and organisations announcing their measures related to the entry into force of the EU's General Data Protection Regulation, or GDPR by its common name. The purpose of the regulation was to improve the privacy of citizens whose personal details are stored in various databases, a matter that is closely related to the research conducted by Associate Professor Antti Honkela at the University of Helsinki.

Experts of two Academy of Finland Flagships - the Finnish Center for Artificial Intelligence (FCAI) and 6G Flagship – are joining forces to harness the synergy between edge computing and Artificial Intelligence (AI), which are revolutionizing communication networks and becoming key components of next generation networks. Professor Sasu Tarkoma from the University of Helsinki, one of the organizations behind FCAI, has high expectations for the joint research approach. "Edge computing provides a distributed platform, in which smart localized software meets advanced machine learning and AI, and privacy enhanced technologies," Tarkoma says. "All this results in new applications and services, such as AR/VR applications, that react in real-time and can achieve a high level of privacy." The future internet, 5G and 6G networks, will be in operation in the 2020s and 2030s.

CANBERRA: Five car manufacturers would have level three and four autonomous vehicles available by 2020, rising to 14 by 2022, the Australian National Transport Commission (NTC) said Monday, warning lawmakers must prepare for an autonomous vehicle boom. In a submission to the parliamentary infrastructure and transport committee, the NTC said that there could be between 740,000 and 1.7 million autonomous vehicles on Australian roads by 2020 and 9.5 million by 2030. Michael McCormack, Australia's Deputy Prime Minister (PM), said that the government was working with industry groups to prepare for the rapid rollout. "I want to ensure these new technologies are deployed in a manner which improves safety, productivity, accessibility and liveability for Australians in both urban and regional areas," he told News Corp Australia on Monday. Level three autonomous vehicles are vehicles that can drive themselves but require a driver capable of taking control at all times while level four vehicles can perform all driving functions autonomously with the option of driver control.