O.C. Tanner's report on onboarding shows that one in five employees leave a job within the first 45 days. Most of the disengaged employees shared that they received little or no proper training during their onboarding. Not having an onboarding process in place can negatively impact both the employee and employer. In a survey of HR managers by job site CareerBuilder, 16% said poor or non-existent onboarding lowers their company's productivity, 14% said it brings on greater inefficiencies, and 12% said it leads to higher employee turnover. Lower employee engagement leads to lower confidence among employees, lack of communication and trust within the organization and missed revenue targets are among other negative impacts of not having a consistent on-boarding program.

Too often we're told that if Australia is to compete globally in developing AI products, Australian researchers and companies must not be fettered by human rights concerns, because other countries certainly aren't. China, for example, is investing heavily in AI technology such as facial recognition to support its "social credit score" system, which involves conducting precise and determinative surveillance of its citizens. In the context of a global AI arms race, it is argued, Australia can't compete with one arm tied behind its back.

We shouldn't be worried only about whether robots will take our jobs, but about who is programming them--and with what values. Genevieve Bell is a cultural anthropologist who's spent the last two decades pondering the intersection of technology and culture, specifically focusing on the ethics of AI in her work at Intel. "I think the gravest dangers are we take the world we live in now and make it the world in perpetuity moving forward," Bell told me. "All the things about the current world that don't feel right is what the data reflects, where women aren't paid as much as men, where certain populations are subject to more violence, where we know that certain decisions get made in manners that are profoundly unfair. If you take all the data about the way the world has been and that's what you build the machinery on top of, then you get this world as our total future. I don't know about you, but I'd like something slightly different."

Uber will not be held criminally liable in the fatal crash last year in Tempe, Arizona, in which a self-driving vehicle struck and killed a pedestrian, a county prosecutor announced Tuesday. Yavapai County Attorney Sheila Polk said Uber won't face criminal charges in the March 2018 crash -- believed to be the first fatality in the U.S. involving a self-driving vehicle. Polk said her office concluded that video of the crash likely didn't accurately depict the collision and recommended that Tempe police seek more evidence. DRIVER IN FATAL SELF-DRIVING UBER CRASH WAS WATCHING'THE VOICE,' INVESTIGATORS SAY It's not known whether prosecutors are considering charges against the driver. Dashcam video released by the Tempe Police Department last year showed an interior view of Uber backup driver Rafael Vasquez in the moments before the crash.

Nearly a year after one of Uber's autonomous SUVs struck and killed a pedestrian, Elaine Herzberg, Arizona prosecutors said they did not find the company criminally liable in the incident. Reuters published parts of the letter from Yavapai County Attorney Sheila Polk the collision video, as it displays, likely does not accurately depict the events that occurred. The case was referred from Maricopa County, where it occurred, due to a conflict. Uber has not commented on the letter, however the prosecutor's office has referred the case back to Maricopa County's office to see if the back-up driver -- who was apparently streaming Hulu at the time -- will face charges. NHTSA and the NTSB are still investigating the crash, even as Uber has resumed some testing.

The growing capabilities of Artificial Intelligence (AI) are changing the world as we know it. Ideas once confined to the imagination are now becoming a reality, with AI technology creating outputs either largely or entirely independent from human intervention. In 2018, an album called I AM AI was the first of its kind to be entirely composed and produced by AI technology, through a music composition software called Amper. Deep learning networks allow Amper to analyse data to learn chords, notes, genres, tempo and song length to independently compose melodies. A qualified person is an Australian citizen or a person resident in Australia.[1]

Facial recognition and eye scanning have been deployed at prisons to prevent drug smuggling. The Ministry of Justice said the biometric scans for visitors were designed to help staff identify people bringing in contraband. At one prison, there were more "no shows" from visitors than usual after they learned the scans were being used. But prison campaigners said if families were deterred from visiting, then it would be "counter-productive". In the trials, facial recognition technology was used at HMP Humber; iris scanners at HMP Lindholme; and identity document verification at HMP Hull.

PHOENIX – Prosecutors announced Tuesday that they didn't find evidence to criminally charge Uber in the crash that killed a woman a year ago in Tempe. But it is leaving possible criminal charges against the autonomous car's operator back in Maricopa County officials' hands. Yavapai County Attorney Sheila Sullivan Polk's Office took the case at the request of Maricopa County Attorney Bill Montgomery after he cited a potential conflict of interest. Polk in a Monday letter to Montgomery said her office would recommend that Tempe police further investigate to help Montgomery's office determine if any other charges should be filed against the driver. A report the Tempe Police Department released in June revealed 44-year-old Rafaela Vasquez, the operator of Uber's self-driving vehicle, was watching "The Voice" via a streaming service when the autonomous car hit 49-year-old Elena Herzberg on March 18 as she crossed a street outside of a crosswalk with her bike.

Partnership between Joint Centre for Bioethics and AMS Healthcare to shape the future of artificial intelligence in Canada's health system A new partnership with AMS Healthcare is supporting the University of Toronto Joint Centre for Bioethics (JCB) accelerate knowledge and inform practice on ethical artificial intelligence (AI) in health care. "We are thrilled to partner with AMS Healthcare in exploring how AI may be a force for good to improve health and health care, particularly from the perspective of patients and providers," said Jennifer Gibson, JCB Director, based at the Dalla Lana School of Public Health. The gift is supporting JCB's AI and the Future of Caring initiative, one of four priority themes in the JCB's Ethics and AI for Good Health strategy. The other three priority areas are: Public Trust of AI for Health; Ethical Governance of AI for Health; and Equity and the Digital Divide. AI and related digital health technologies hold promise for promoting healthy behaviours, enabling prevention, diagnosis, and treatment of disease, and addressing health equity gaps in health policy and planning. However, there are important ethical questions about what impact AI-enabled health care and related technologies will have on patient-provider relationships and on public trust.

The groundwork for machine learning was laid down in the middle of last century. When your bank calls to ask about a suspiciously large purchase made on your credit card at a strange time, it's unlikely that a kindly member of staff has personally been combing through your account. Instead, it's more likely that a machine has learned what sort of behaviours to associate with criminal activity – and that it's spotted something unexpected on your statement. Silently and efficiently, the bank's computer has been using algorithms to watch over your account for signs of theft. Monitoring credit cards in this way is an example of "machine learning" – the process by which a computer system, trained on a given set of examples, develops the ability to perform a task flexibly and autonomously.