To study social, economic, and historical questions, researchers in the social sciences and humanities have started to use increasingly large unstructured textual datasets. While recent advances in NLP provide many tools to efficiently process such data, most existing approaches rely on generic solutions whose performance and suitability for domain-specific tasks is not well understood. This work presents an attempt to bridge this domain gap by exploring the use of modern Entity Linking approaches for the enrichment of museum collection data. We collect a dataset comprising of more than 1700 texts annotated with 7,510 mention-entity pairs, evaluate some off-the-shelf solutions in detail using this dataset and finally fine-tune a recent end-to-end EL model on this data. We show that our fine-tuned model significantly outperforms other approaches currently available in this domain and present a proof-of-concept use case of this model. We release our dataset and our best model.

On September 15 2021, the UN issued a statement that AI must not interfere with human rights. This isn't a new sentiment - last year, a similar pronouncement was issued: Michelle Bachelet, UN High Commissioner for Human Rights chief is calling for a moratorium on the use of artificial intelligence technology that poses a serious risk to human rights, including face-scanning systems that track people in public spaces. It also said Wednesday that countries should expressly ban AI applications which don't comply with international human rights law. As part of its work on technology and human rights, the UN Human Rights Office has today published a report that analyses how AI – including profiling, automated decision-making and other machine-learning technologies – affects people's right to privacy and other rights, including the rights to health, education, freedom of movement, freedom of peaceful assembly and association, and freedom of expression. Applications that should be prohibited include government "social scoring" systems that judge people based on their behavior and certain AI-based tools that categorize people into clusters such as by ethnicity or gender.

If cyber is the ultimate team sport, as many in the U.S. Defense Department like to say, then artificial intelligence (AI) would likely be the number one draft pick for the Defense Information Systems Agency (DISA). Anthony "Tony" Montemarano, DISA's executive deputy director, stressed the importance of AI during a luncheon plenary on the final day of the AFCEA TechNet Cyber conference in Baltimore. "We've heard about it time and again. Artificial intelligence is probably the most significant technology we have to come to grips with." The younger generation, he noted, does not want to be burdened with security barriers when using technology.

Experts from the likes of Microsoft and Audi are gathered with UN leaders and academics to debate the pros and cons of Artificial Intelligence in Geneva this week, reports Euronews' Jeremy Wilks. Artificial Intelligence is "probably the most significant technology we will ever create," says Peter Diamandis in his opening video address to the ITU's AI for Good summit. The X Prize founder always speaks with the zeal of the finest Silicon Valley entrepreneurs, and here he is in his element. Taking up the baton on stage is Marcus Shingles, X Prize CEO, who with the tone of a motivational speaker expounds the huge unleashed potential of the smartphones in the pockets of 3.6 billion people today. Artificial Intelligence, say its proponents, can heal healthcare, make travel safe, and boost your wealth.