SNGLR Group: AI Quarterly Executive Briefing, March 2021

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We are delighted to announce our first AI Executive Briefing, a summary of the most important news and topics in Artificial Intelligence, that will be issued on a quarterly basis.

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Our experts at SNGLR Group compiled a short report dense with information on the latest AI investment trends, a snapshot of some of the startups that were funded in the past 3 months, a status of the AI adoption across businesses, a collection of the most interesting use cases, a review of the latest AI research and an overview on the most pressing ethical challenges.

2020 AI investments

More highlights from the report:

The Covid-19 pandemic has not stopped businesses from investing in AI projects: in fact, it has incited many companies to look at new innovative approaches to address the pressures from the pandemic.

The most popular use cases for AI: all focus on improving customer experiences to drive revenue growth or aim to automate processes to bring costs down.

The major risks for companies that choose to adopt AI: governance and cybersecurity are the top two challenges.

Alphabet’s Waymo begins tests with robotaxis in San Francisco: Google’s driverless company announces its first robotaxi tests in a large city such as San Francisco.

Machine learning can preserve the privacy of data: Microsoft and Harvard jointly released SmartNoise, a differential privacy platform that adds a carefully tuned amount of statistical noise to sensitive data.

Transformers are becoming less heavy, more versatile, and more resource-efficient: NLP (Natural Language Processing) deep learning architecture Transformer is famous for being resource-intensive. Now researchers are improving its efficiency to make it more cost-effective.

Artificial intelligence is learning how to manipulate humans: a study by CSIRO, Australia’s national science agency, has shown how AI can detect vulnerabilities in human behaviour and exploit them in order to manipulate human decision-making.

AI Community attempts at self-regulating: a major conference’s requirement to include a statement on the broader societal impacts of every research was found to be a valid starting point for further self-governance initiatives.

Large language models have a religious bias: GPT-3, the most advanced NLP system, contains bias against people of Muslim faith and those of Jewish faith, making it a possible liability for the organisations that use them.

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SNGLR Group’s Artificial Intelligence Quarterly Executive Briefing‘s authors are Maria Abou-Sakr and Luca Sambucci. Feel free to contact the authors if you have questions or if you want to know more.

I am a partner and founder of SNGLR Holding AG, a Swiss group specialising in exponential technologies with offices in Europe, USA and the UAE, where I supervise projects on applied artificial intelligence. I have an Artificial Intelligence Professional certificate from IBM and one on machine learning from Google Cloud. I am a member of several AI industry associations: AAAI, ACM (SIGAI), AIxIA. I participate to the European AI Alliance of the European Commission and I work with the European Defence Agency and the Joint Research Centre.