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 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.
A new international study commissioned by WP Engine and conducted by researchers at The University of London and Vanson Bourne explored the present and near future of artificial intelligence (AI)-driven human digital experiences on the web, and the often tenuous but also potentially rewarding relationship between consumers, brands and AI. The study, which surveyed consumers and enterprise companies (1,000 employees or more) in the US, UK and Australia, found that in an era of purpose-driven consumption, values--such as transparency, trust and humanness--are key drivers that unlock value in AI. According to IDC, worldwide spending on artificial intelligence (AI) systems is forecast to reach $35.8 billion in 2019, an increase of 44% over the amount spent in 2018. Much of that growth will come from the application of AI online because there is a natural, evolutionary symbiosis between AI and the internet. However, it was a sudden burst of activity starting in 2013 that marks the beginning of what we might term the modern AI period, especially for digital and digital experiences, characterised predominantly by automated content creation, programmatic ad buying in 2014, and intelligent search.
Locking your phone keeps out snoops, but it's also your first line of defense against hackers and cybercriminals out for your data and anything else they can steal. Tap or click for 3 safer ways to pay for things online other than credit cards. So, what's the best way to secure your phone? Is it biometrics like your fingerprint or a scan of your face? Most people aren't very good at creating hard-to-crack passwords, so yours might not even be effective at keeping your devices or your accounts safe.
We live in the greatest time in human history. Only 200 years ago, for most Europeans, life was a struggle rather than a pleasure. Without antibiotics and hospitals, every infection was fatal. There was only a small elite of citizens who lived in the cities in relative prosperity. Freedom of opinion, human and civil rights were far away. Voting rights and decision-making were reserved for a class consisting of nobility, clergy, the military and rich citizens. The interests of the general population were virtually ignored.
AI and machine learning have developed significantly in recent years. In fact, so profound is the transformation that reports now claim that up to 1.5 million jobs are at risk from being replaced by automation. Industries around the world are set to be transformed by AI. The rise of legal artificial intelligence is just one such example. In most cases, the danger is exaggerated; outside of a few vulnerable industries, the focus will largely be on automating tasks within jobs, rather than the jobs themselves – at least in the near future.
The biggest tech companies want you to know that they're taking special care to ensure that their use of artificial intelligence to sift through mountains of data, analyze faces or build virtual assistants doesn't spill over to the dark side. But their efforts to assuage concerns that their machines may be used for nefarious ends have not been universally embraced. Some skeptics see it as mere window dressing by corporations more interested in profit than what's in society's best interests. "Ethical AI" has become a new corporate buzz phrase, slapped on internal review committees, fancy job titles, research projects and philanthropic initiatives. The moves are meant to address concerns over racial and gender bias emerging in facial recognition and other AI systems, as well as address anxieties about job losses to the technology and its use by law enforcement and the military.
Mitigating prejudicial and abusive behavior online is no easy feat, given the level of toxicity in some communities. More than one in five respondents in a recent survey reported being subjected to physical threats, and nearly one in five experienced sexual harassment, stalking, or sustained harassment. Of those who experienced harassment, upwards of 20% said it was the result of their gender identity, race, ethnicity, sexual orientation, religion, occupation, or disability. In pursuit of a solution, Jigsaw -- the organization working under Google parent company Alphabet to tackle cyber bullying, censorship, disinformation, and other digital issues of the day -- today released what it claims is the largest public data set of comments and annotations with toxicity labels and identity labels. It's intended to help measure bias in AI comment classification systems, which Jigsaw and others have historically measured using synthetic data from template sentences.
Some areas of AI are further along in adoption than others. One of those areas is in recruiting. Already, there are companies that are marketing services to review hundreds (or thousands) of applicants and give each candidate a "score" based on multiple factors.The potential pitfall is that the output from some of these systems may have a disparate impact on a protected group. The most notable example was a system being developed (and rejected) by Amazon that did not like women. Thus, HR needs to have a seat at the table when these systems are being considered.