Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.
It's beginning to look a lot like the end of the year in cybersecurity! In an interview with the Pentagon's artificial intelligence honcho, we looked forward at how AI will intersect with warfare in the future--and the many unresolved questions that raises. And in an interview with venerated author Cliff Stoll, we took a look back a historic moment in cybersecurity. We detailed how popular conference room video displays can be hacked, and how WhatsApp group chat security still needs a little work. Chrome will check your passwords to make sure they're not already in some data breach somewhere.
From CIA director John Brennan's private email to Sony Inc, from the IRS to CVS, from Target to the notorious Ashley Madison, millions of people suffered from cybersecurity breakdowns across industries. According to the Ponemon Institute, the average cost of damages from data breaches in the US hit a staggering $6.5 million this year, up $600,000 from 2014. Untallied are the personal costs to the hacker's victims: the stress associated with leaked phone numbers, credit card information, social security numbers, tax information, and the time spent getting their lives back on track. The sophistication and scope of cyber threats are expected to further escalate, yet our defenses remain rudimentary, even medieval. Overwhelmingly, the current strategy is to define the threats, and then build strong defensive walls focused on keeping nefarious agents, viruses or programs out.
"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.