A number of prestigious awards were announced shortly before the start of AAAI 2023, and will be officially presented during the conference. Some of the winners will also be giving invited talks as part of the programme. The AAAI Award for Artificial Intelligence for the Benefit of Humanity recognises the positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects. The winner of this year's award is Tuomas Sandholm (Carnegie Mellon University). Tuomas has been recognised for "outstanding scientific and software contributions to the design and implementation of organ exchanges, and their direct impact on both practice and policy".

The use of artificial intelligence, machine learning and robotics has enormous potential, but along with that promise come critical privacy and security challenges, says technology attorney Stephen Wu. For example, in healthcare, "we're beginning to see surgical robots ... and robots that take supplies from one part of a hospital to another. But along with those bold technological advances come emerging privacy and security concerns. "The HIPAA Security Rule doesn't talk about surgical robots and AI systems," he notes. Nevertheless, HIPAA's administrative, physical and technical safeguard requirements still apply, he says. As a result, organizations must determine, for example, "what kind of security management procedures are touching these devices and systems - and do you have oversight over them?" Also critical is ensuring that "communications are secure from one point to another," he points out. "If you have an AI system that's drawing records from an electronic health record, how is that transmission being secured?

The age of artificial intelligence, machine learning and robotics is here, and these technologies will continue to shape our lives in the future. But the people working in these fields still don't reflect the society they are bound to change. Women make up only 22% of AI professionals worldwide, according to analysis done by LinkedIn and the World Economic Forum for its 2018 Global Gender Gap Report. In the more specialized area of machine learning, only 12% are women, based on a study done by Wired in partnership with Montreal startup Element AI. Artificial intelligence and machine learning continue to be male-dominated fields.

In 2013, Carl Frey and Michael Osborne – academics at the Oxford Martin School at Oxford University – published a research paper entitled The Future of Employment: How susceptible are jobs to computerisation? Applying a new methodology to estimate the probability of computerisation for 702 specific occupations, Frey and Osborne predicted that as many as 47% of workers in the US economy were at a high risk of being replaced by robots in the medium term. The paper shocked analysts, policy makers and the public around the world, and set the tone for a debate that has raged ever since. Artificial intelligence, machine learning and robotics are already changing the world of work, and the innovation wave has barely got started. And while estimates vary about how many jobs are "at risk", and in what kinds of occupations, there is a consensus that, one way or another, the world is on the brink of major change.

While enterprises are building businesses around Artificial Intelligence, Machine Learning and even Robotics at an alarming rate, there is speculation among masses about the risks involved. Several headlines abound about how technology and automation are snatching jobs from humans. At the same time, we do not highlight facts that so many startup companies working on these niche technologies are creating new jobs. Technology Leaders like Microsoft, Amazon, Google and IBM are investing heavily as well as hiring at a fast pace from top educational institutes. The fears are spreading beyond concern over blue-collar jobs.

The days of waiting in a long line at your favorite coffee shop are numbered. Called Café X, the $25,000 machine is designed with a Mitsubishi robot arm and is programmed with pre-defined movements like grabbing cups and pumping syrup. The robo unit can make 120 cups of coffee an hour and is basically a fully operational café beneath a six-axis animatronic arm. The bot fills between 300 and 400 orders a day, and prices are kept low. A California startup unveiled the'first robotic café' capable of making a range of espresso-based beverages in less than a minute using a Mitsubishi robot arm Cafe X Technologies unveiled its first kiosk in San Francisco last year, which combines machine learning and robotics.

In this presentation, I answer the question "when do we trust machines?" In answer to this question, I use a "trust heatmap" in order to illustrate how the answer depends on two key elements: how often machines make mistakes and the costs or consequences of these mistakes. Figure 1: The AI Heat Map: Predictability vs Cost per Error I show that automation occurs when problems cross an "automation frontier" when the risks are sufficiently reduced either through better data and algorithms, or because of regulation or an expression of our preferences. When used in this way, the heatmap can be used to predict what kinds of tasks are currently amenable to automation and those where humans should maintain control. This ideas are presented in TEDx talk, entitled "When Do We Trust Machines?"

A study by researchers at Sweden's prestigious Stockholm School of Economics (SSE), which looks ahead at the likely impact of artificial intelligence (AI), machine learning and robotics on people's lives, should calm the nerves of economic planners and private citizens. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit.

While it's true automation, robotics and other cutting-edge solutions may take away the need for human intervention, the implementation of these solutions usually just redirects a human's job, and doesn't replace it outright. In the workplace, robotics and machine learning is already disrupting everything from accounts payable to customer support, but new research from Pegasystems in its "The Future of Work" report suggests employees should anticipate working alongside them. In a survey of 845 executives across the globe and across industries, Pegasystems researchers found widespread expectations that their organizations will implement tools like artificial intelligence (AI), machine learning and robotics. Nearly 70 percent predict that one day, the word "workforce" will come to mean both human and robotic capital. It marks the brink of what some analysts consider the "fourth industrial revolution," and, according to executives surveyed, there are a few key ways workers believe AI and robotics will impact operations.

It could be here in a few years' time, another sign of the ever-faster technological changes that are reshaping our world. But will the march of technology and AI come at a price? Will it cost you your job? Let us start the week in outer space, where – to misquote Ming the Merciless – the puny earthlings have hurled a car into the void. At the beginning of this month, the Falcon Heavy was launched.