Chatbots are one of the key opportunities to balance the budget-cuts, handle pressure to deliver services and manage the staff shortages. According to a survey by the Local Government Information Unit (LGiU), 64% of councillors in England believe that digital transformation will have a positive impact on the wellbeing of people in their areas over the next ten years. It strongly supports the increasing influence of artificial intelligence in public sector to streamline service delivery. By 2021, over 50% of enterprises will invest more on bots and Chatbot than traditional mobile app development, suggests Gartner. There are various applications to harness the Chatbot utility.

AI is transforming the world as we know it. Contextual awareness paired with AI is opening the door to many positive solutions for healthcare, environmental protection, conservation, smart cities and public safety. Enterprise AI applications also proliferate in marketing and sales, HR and recruiting, security, autonomous operations and financial services. On the other hand, the rapid advancement of AI also raises questions and concerns around data ethics, which are only beginning to be addressed. As a case in point, the New York Police Department (NYPD) has been challenged by AI bias concerns for its new crime analysis AI tool.

Artificial intelligence (AI) has generated increasing interest in "future of work" discussions in recent years as the technology has achieved superhuman performance in a range of valuable tasks, ranging from manufacturing to radiology to legal contracts. With that said, though, it has been difficult to get a specific read on AI's implications on the labor market. In part because the technologies have not yet been widely adopted, previous analyses have had to rely either on case studies or subjective assessments by experts to determine which occupations might be susceptible to a takeover by AI algorithms. What's more, most research has concentrated on an undifferentiated array of "automation" technologies including robotics, software, and AI all at once. The result has been a lot of discussion--but not a lot of clarity--about AI, with prognostications that range from the utopian to the apocalyptic.

Artificial intelligence technology is advancing and bringing opportunities for society but also profound challenges for individual freedom. AI is a powerful enabler of surveillance technology, such as facial recognition, and many countries are grappling with appropriate rules for use, weighing the security benefits against privacy risks. Authoritarian regimes, however, lack strong institutional mechanisms to protect individual privacy--a free and independent press, civil society, an independent judiciary--and the result is the widespread use of AI for surveillance and repression. This dynamic is most acute in China, where the Chinese government is pioneering new uses of AI to monitor and control its population. China has already begun to export this technology along with laws and norms for illiberal uses to other nations. As AI-enabled surveillance technology spreads around the globe, how it is used poses profound challenges for the future of democracy, liberty, and individual freedom.

"November 8th is National STEM day and we honor the dedication, creativity, and passion of JAIC's science, technology, engineering, and math (STEM) professionals who drive our AI capability delivery forward." The Department of Defense stands at a rare moment of historical significance. Just as in 1957 when the world was caught off-guard as we watched Sputnik launch into space, our nation must again align our STEM capabilities to our national defense needs. We have entered a time when AI technologies will transform not only society, but the very character of warfare. Our country's leadership role is dependent on our next-generation STEM expertise.

As far as the ongoing debate over who is going to be most impacted by the AI trend -- blue-collar or white-collar workers -- the answer, as it turns out, is white collar, says new research from the Brookings Institution. "Better-paid, white-collar or office occupations may be most exposed to AI," Brookings said in summarizing the major findings of a report set to be published today (Nov.

The role of the development of artificial intelligence in geopolitics usually means competition between the United States and China. While reports are inconclusive about which country will ultimately win (if this is the right term), there is a glaring shortcoming in the United States that China will largely avoid. In 2017 China accounted for 48% of global AI venture capital while the US only accounted for 38%. But only two years later the trend reversed, possibly because of headwinds from the trade war. Neither is it talent acquisition and a brain drain.

You could be forgiven for thinking that AI will soon replace human physicians based on headlines such as "The AI Doctor Will See You Now," "Your Future Doctor May Not Be Human," and "This AI Just Beat Human Doctors on a Clinical Exam." But experts say the reality is more of a collaboration than an ousting: Patients could soon find their lives partly in the hands of AI services working alongside human clinicians. There is no shortage of optimism about AI in the medical community. But many also caution the hype surrounding AI has yet to be realized in real clinical settings. There are also different visions for how AI services could make the biggest impact. And it's still unclear whether AI will improve the lives of patients or just the bottom line for Silicon Valley companies, health care organizations, and insurers.

Agencies should look to early artificial intelligence adopters in government and industry when crafting strategies for adopting such technologies, according to a new report. Deloitte surveyed about 1,100 executives from U.S. organizations using AI in the third quarter of 2018 -- 10% of them from the public sector -- and found 74% of respondents felt the technologies would be "very" or "critically" important within two years. But government is lagging behind its peers in adopting the new technologies, according to the study. Bill Eggers, executive director of Deloitte's Center for Government Insights, said this reflects agencies' investment and strategizing around AI. "Governments were on the lower end of the AI maturity curve compared to other industries, and it's certainly no surprise that financial services and technology companies were the higher end," Eggers told FedScoop. "The reason why this might be is both a skills gap issue, but also the public sector is investing the least in AI of all the different industries that we looked at."

Artificial Intelligence (AI) is a hotly debated topic, particularly in the context of its impact on the labour market and the workforce. These vital discussions are all too often based on assumptions and desktop projections rather than on concrete, objective data. New research from LinkedIn's Economic Graph uncovers novel, evidence-based insights into the state of AI talent development in the European Union (EU) labour market, and identifies emerging trends that can help inform policymaking in this area. The European Commission has clear ambitions and goals for AI, but right now Europe is lagging behind its peers in developing talent. The U.S. employs twice as many AI-skilled individuals than the EU, despite the American total labour force being just half the size.