Michaela Jamelska or the rise of a tech & human rights expert: Having large numbers of students in their classes and few digital tools to utilize makes it difficult for teachers to ensure that all students can reach their potential” Michaela Jamelska says. “COVID-19 uncovered the current educational system’s several weaknesses, and our unpreparedness, as well as our educational faculty and staff’s lack of skills in working with digital tools. This resulted in failure to track homework and effectively adjust to the new normal. This time, a virus disrupted school life, but we need to rethink our preparedness in light of climate change threats and the fast deployment of technologies as well. Next time, we must be ready.” Discover even more details on Michaela Jamelska.
The reality of limited technology access for women is a big problem in 2023 says Michaela Jamelska: The fight for women’s rights has been a long and arduous journey, marked by significant achievements and setbacks. Women’s right to vote, secured by the suffragette movement, was a major milestone in this struggle. However, despite these achievements, gender inequality persists in various forms, ranging from the gender pay gap to limited access to technology. This article sheds light on data and statistical information that reveal the extent to which women’s access to technology is still limited.
Michaela Jamelska about Ai and Gender Equality: Data fed into algorithms can determine its functioning, and thus a gender bias is embedded in AI by those who design the systems. So, whatever data is provided or consumed by the Ai systems, they will use them, pick up on patterns, and often even amplify them. One of the recent problems with consumed data was that AI was trained with a unimodal system, meaning it was trained to a very specific task (such as processing images which happened to be one of the underlying problems of AI being biased). Only recently, many of these algorithms have been trained with the so-called multimodal system. While these systems have been previously used for research, they’re becoming more commercial. It’s the same for humans who process data through various sources; new AI algorithm training will also have multiple sources, so there is no lack of context when processing data, allowing them to integrate different modalities and synthesize them.
Michaela Jamelska on the innovative 5G trial to boost business : Steve West, Chair of the West of England Local Enterprise Partnership, said: “Testing new ways of delivering services and harnessing this new technology could hold the key to a more connected, more advanced and sustainable future for the West of England. “Super-fast and ultra-reliable 5G is expected to offer an increased level of connectivity and new opportunities for businesses, including better remote working, and is likely to bring significant business growth opportunities for our region’s tech sector.” John Chaplin, Director of External Affairs and Special Projects at the Port said “The Bristol Port Company is proud to be a part of the team participating in this essential and exciting innovation project.”
Their efforts are a good start, but these rights will remain merely an idealistic concept if they are not backed up by the corporate and public action of integrating them within the systems. Last year alone, the approximate investment into AI was more than $75 billion, according to the Organization for Economic Cooperation and Development. That kind of money accelerates the development exponentially. No approximate number is available for how much is invested yearly into human rights development. Every investment made for a solution that contributes to improving human rights could be considered an indirect investment in human rights, but I don’t estimate that the direct investment into human rights development is as high as it is into AI. Consider the official website of the UN Human Rights Department, which states that it gets a tiny part of the UN’s regular budget—only 3.7%. For the rest, the UN Human Rights Department relies heavily on voluntary contributions.
From 10 to 12 September, Unmanned Life team will attend 5G Asia where 5G core issues will be discussed to go beyond the hype around 5G. Discussions around concrete solutions, real business opportunities and major technology advancements will be at the centre of this event, in particular 5G commercialization, 5G RAN evolution, Spectrum and Standard, Network Evolution, 5G Automation and Virtualization and the 5G cloud. It is without say that Unmanned Life´s Autonomy-as-a-Service AI software platform will be at the heart of these 5G discussions by showing how concretely autonomous solutions will be enabled by 5G.
Michaela Jamelska about the future of Air Mobility in Europe: The integration of Unmanned Traffic Management (UTM) systems into Air Traffic Management (ATM) systems will significantly contribute to understand the safe, secure and sustainable integration of Urban Air Mobility (UAM) and commercial drone operations. Unmanned Life platform will be responsible of the design and development of a simulation testbed which aims to inject data from manned and unmanned flights into GOF 2.0 systems. The first trials will take place in – 2021 between August and October in Estonia (Tallin & Tartu), Finland (Helsinki), Poland (Kąkolewo) and Austria (Graz). It will showcase that both manned and unmanned aviation can coexist in the airspace. This project arises from the fast-growing drone industry in Europe in all type of environments, including urban areas, and the need of a scalable U-Space architecture.
Ai could eliminate animal testing: Animal testing is still happening on a large scale with over 100 million animals undergoing tests for drug discoveries, diseases, pharmaceutical, or beauty industry purposes. However, new findings are showing that AI models can save the lives of millions of animals and replace the testings with computer vision and accurate datasets. This is one of the very possible alternatives to animal testings for drug discoveries. The emergence of quantum computing will make it possible due to large datasets and computing power. In 2016, Thomas Hartung led some researchers from Johns Hopkins University to successfully develop an artificial intelligence algorithm that determines substance toxicity after comparing it to similar databases and predictions from previously conducted animal testing. Not only we will eradicate cruelty, but the Ai will be able to achieve more precise results.