Collaborating Authors


Autonomous Vehicle Safety Standards Evolving in US and Worldwide - AI Trends


The state of autonomous vehicle safety standard regulation in the US today is between two presidential administrations, with the Trump Administration-era regulations issued Jan. 14 likely to be soon superseded by policies of the Biden Administration. The Trump Administration rules would allow self-driving vehicle manufacturers to skip certain federal crash safety requirements in vehicles not designed to carry people, marking the first major update to federal safety standards to accommodate innovations of driverless technology, according to an account in The Detroit News.This would apply for example to the delivery vehicle from startup Nuro, which has no driver or passengers. The National Highway Traffic Safety Administration estimated the rule would save automakers and consumers $5.8 billion in 2050. "With more than 90% of serious crashes caused by driver error, it's vital that we remove unnecessary barriers to technology that could help save lives," stated then NHTSA Deputy Administrator James Owens. On Jan. 25, Steve Cliff, deputy executive officer of the California Air Resources Board, was named deputy administrator of the NHTSA. Ariel Wolf, counsel to the Self-Driving Coalition, said of the Jan. 14 announcement that the NHTSA rule was a "highly significant" development in safety rules for self-driving vehicles.

Robots threaten jobs less than fearmongers claim


THE COFFEESHOP is an engine of social mobility. Barista jobs require soft skills and little experience, making them a first port of call for young people and immigrants looking for work. So it may be worrying that robotic baristas are spreading. RC Coffee, which bills itself "Canada's first robotic café", opened in Toronto last summer. "[T]he barista-to-customer interaction is somewhat risky despite people's best efforts to maintain a safe environment," the firm says.

Exercise Reveals Advantages Artificial Intelligence Gives in All-Domain Ops


… advantages the Defense Department would receive by applying machine learning and artificial intelligence to all-domain information, Air Force Gen.

Talking Robotics' seminars of January – April 2021 (with videos and even a musical summary!)


Talking Robotics is a series of virtual seminars about Robotics and its interaction with other relevant fields, such as Artificial Intelligence, Machine Learning, Design Research, Human-Robot Interaction, among others. They aim to promote reflections, dialogues, and a place to network. In this seminars compilation, we bring you 7 talks (and a half?) from current roboticists for your enjoyment. Filipa Correia received a M.Sc. in Computer Science from University of Lisbon, Portugal, 2015. She is currently a junior researcher at GAIPSLab and she is pursuing a Ph.D. on Human-Robot Interaction at University of Lisbon, Portugal.

Victoria invests AU$34m in 'distracted driver' AI mobile phone detection tech


The Victorian government will be introducing new legislation to allow its "distracted driver" technology to be rolled out on certain roads in the state. The tech will capture drivers using their mobile phones while driving. The government will be investing AU$33.7 million to develop and implement it. It is understood the tech uses high-definition cameras and artificial intelligence to detect offending drivers illegally using their phone behind the wheel. It incorporates two cameras and an infrared flash to work both day and night. Images that are deemed likely to contain a mobile phone offence are then verified by appropriately trained personnel.

Survey finds 96% of execs are considering adopting 'defensive AI' against cyberattacks


Register for a free or VIP pass today. "Offensive AI" will enable cybercriminals to direct attacks against enterprises while flying under the radar of conventional, rules-based detection tools. That's according to a new survey published by MIT Technology Review Insights and Darktrace, which found that more than half of business leaders believe security strategies based on human-led responses are failing. The MIT and Darktrace report surveyed more than 300 C-level executives, directors, and managers worldwide to understand how they perceive the cyberthreats they're up against. A high percentage of respondents (55%) said traditional security solutions can't anticipate new AI-driven attacks, while 96% said they're adopting "defensive AI" to remedy this.

Artificial Intelligence: Regulatory Trends


The potential positive economic effects of artificial intelligence (AI) have been well-documented, with several high-profile studies highlighting its impact on areas such as workforce productivity and wealth creation. At the same time, widespread adoption of AI technologies has contributed to increased scrutiny and a sharper focus on AI's potentially harmful implications. Listed below are the key regulatory trends impacting the AI theme, as identified by GlobalData. In 2020, the US and Europe have taken steps to regulate AI, but there are notable differences in approach. Europe appears more optimistic about the benefits of regulation, while the US has warned of the dangers of overregulation.

How AI and Machine Learning Are Helping In Cybersecurity?


The internet is becoming a vital part of our day-to-day lives and with every second that passes by, a new change takes place over the internet. The internet is no doubt a very useful place but there are risks that are associated with the internet, especially those that affect the security and privacy of the users. With the advent of AI and Machine Learning, every process is automated and this is making things convenient for internet users, especially cybersecurity which has improved drastically due to the advent of AI & Machine Learning. AI & Machine Learning can recognize different patterns that are used in data helping the security systems to learn from them. Cybersecurity is the protection of computers, networks, and other similar devices from damage, information theft, or any other harm.

Financial Regulators Request Feedback on AI and Machine Learning


The Federal Reserve Board, the CFPB, the FDIC, the National Credit Union Administration and the OCC (the "agencies") solicited comment on financial institution use of artificial intelligence ("AI") and machine learning. The agencies are seeking information on operational purposes, governance and cybersecurity, risk management, credit decisions, and controls over AI, as well as whether the agencies can provide guidance regarding a financial institution's use of AI in a safe and sound manner. Comments on the request for information must be submitted within 60 days of its publication in the Federal Register.