Regulation of the powerful and fast growing Technology Industry is fast becoming a hot topic of concern for government due to its many impacts upon nations and societies, both good and bad. In order to better shape those issues involving technology, it is important understand two basic conceptions which are pillars in the current technology deployment: Algorithms and Artificial Intelligence (AI). The positive impacts of these technolgies are those related to the fact that technology can be very useful to help daily life. No one could deny that is easier and more comfortable being guided by algorithms and artificial Intelligence when we are driving, choosing prices and making shops. The negative aspects can be defined by the vulnerabilities that flow from the uses of these technologies.

What's in the news: Google and the 2,600-hospital Ascension health system are collaborating on an effort--dubbed Project Nightingale--that puts identifiable patient data in the hands of the tech giant's engineers for use in projects on machine learning (ML) and augmented intelligence (AI), often called artificial intelligence. The AMA is spearheading initiatives that put physicians at the center of digital health innovation. See how you can get involved. Google and Ascension say the activities, first reported by Rob Copeland of The Wall Street Journal, are covered by a business associate agreement, which is a long-standing, and legal, way for health care providers to share identifiable data with third parties under the Health Insurance Portability and Accountability Act (HIPAA). The third parties may only use the data for certain purposes and must protect it as HIPAA requires.

This week, we discuss what to do about bias in algorithms; Russia's limits in the Middle East; learning from other countries' experiences with fentanyl; what protests could mean for democracy in the Middle East; how cities can help U.S. diplomacy; and helping U.S. Army special operations forces assess their missions. Earlier this month, a controversy about gender bias in the Apple Card algorithm lit up social media; an outraged tech executive posted about how his credit line was 20 times higher than his wife's, even though the two share all assets. According to RAND's Osonde Osoba, problems like this may become more common as artificial intelligence is used in more kinds of decisionmaking. It's not always possible to pinpoint how a complex algorithm led to a bad outcome, he says. But there are ways for companies to audit algorithms for sexist, racist, biased behaviors.

Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development. It can bring solutions to many societal challenges from treating diseases to minimising the environmental impact of farming. However, socio-economic, legal and ethical impacts have to be carefully addressed. It is essential to join forces in the European Union to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values). The Commission is increasing its annual investments in AI by 70% under the research and innovation programme Horizon 2020.

As climate change-driven wildfires continue to wreak havoc around the world, artificial intelligence, satellites, and drones are emerging as a potential solution to this problem. Despite repeated warnings from the scientific community about the gravity of the issue, our greenhouse gas emissions continue to rise year after year, resulting in deadly heatwaves, devastating wildfires, severe droughts, and powerful hurricanes. While these extreme weather events once used to be few and far between, they've become more frequent and lethal in recent years, a direct consequence of climate change. According to Munich Re, one of the world's leading insurance companies, weather and climate events killed more than 4,000 people worldwide and caused around $42 billion in insured losses in 2019. Wildfires in particular have become increasingly destructive in recent years. An average of 67,000 wildfires per year were recorded over the last 10 years in the United States, burning an average of 7 million acres of land, according to the National Interagency Fire Center (NIFC).

BlackBoiler, an AI-based pre-execution contract review start-up, has bagged four patents from the United States Patent and Trademark Office (USPTO). But, perhaps the bigger question is: are patents for legal tech companies of any real use (see below)? Profiled in Artificial Lawyer this September – BlackBoiler aims to reduce the time that lawyers spend reviewing and marking up documents such as NDAs, service agreements, and other high-volume contracts. One of the approved patents, is a'Method and System for Suggesting Revisions to an Electronic Document', which the company says is a core component of its pre-execution technology for contract analysis. The technology suggests revisions to a document-under-analysis (DUA) and is part of a family of three patents as well as additional patent applications claiming this method.

The European Commission's incoming president has promised to introduce new legislation governing AI amid fears about Europe's increasing dependence on US tech. Ursula von der Leyen set out her plans in a speech on Wednesday after the European Parliament approved her and her cabinet's appointment. The commission chief, who has pledged to create a range of new laws within the first 100 days of her presidency, said she was in favour of a AI-focused legislation similar to the General Data Protection Regulation that came into effect last year. "It is not about damming up the flow of data," she said. "It is about making rules that define how to handle data responsibly. For us the protection of a person's digital identity is the overriding priority."

A worker lifts a lunch bowl off the production line at Spyce, a restaurant which uses a robotic cooking process, in Boston. Robots aren't replacing everyone, but a quarter of U.S. jobs will be severely disrupted as artificial intelligence accelerates the automation of today's work, according to a Brookings Institution report. A worker lifts a lunch bowl off the production line at Spyce, a restaurant which uses a robotic cooking process, in Boston. Robots aren't replacing everyone, but a quarter of U.S. jobs will be severely A worker lifts a lunch bowl off the production line at Spyce, a restaurant which uses a robotic cooking process, in Boston. Robots aren't replacing everyone, but a quarter of U.S. jobs will be severely disrupted as artificial intelligence accelerates the automation of today's work, according to a Brookings Institution report.

AI has the power to search through millions of genetic variants at high speed and identify likely ... [ ] causes of rare diseases, while also comparing what they find with the existing medical literature. This is greater than the population of the United States, yet the ominous figures don't end there. According to the Global Genes organization, eight out of ten rare diseases are caused by a faulty gene, yet it takes an average of 4.8 years to arrive at an accurate diagnosis. This is part of the reason why 30% of children with a rare disease won't live to see their fifth birthday. Neither is this situation helped by the fact that 95% of rare diseases lack an FDA-approved treatment.

The graph represents a network of 5,470 Twitter users whose tweets in the requested range contained "(Artificial Intelligence) OR #AI", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 November 2019 at 04:23 UTC. The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 1-day, 1-hour, 30-minute period from Wednesday, 13 November 2019 at 23:22 UTC to Friday, 15 November 2019 at 00:53 UTC.