If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Facebook is serious about joining the AI assistant race. The social media giant has been expanding its effort to create its own artificial intelligence chips, Yann Lecun, Facebook's chief AI scientist, told the Financial Times. Facebook's hope is that its AI chips could one day power a voice assistant with the'common sense' to carry out a full conversation with humans and even rival voice assistants created by the likes of Amazon and Apple. Facebook is serious about joining the AI assistant race. The social media giant has been expanding its effort to create its own artificial intelligence chips, Facebook's AI lead said'In terms of new uses, one thing Facebook would be interested in is offering smart digital assistants - something that has a level of common sense,' Lecun told the FT.
It's no secret that marketing today relies heavily on data analytics and data science. Endless applications have been wildly studied and successfully applied in this regard, ranging from customer segmentation and targeting to building recommender systems and predicting churn. In this blogpost, we are going to address yet another interesting application of data science in marketing, which is marketing attribution. Unlike the above examples, marketing attribution unfortunately still lacks a rigorous data-driven approach, and it is largely addressed nowadays through rigid business rules. The content of this blogpost will be very technical at times.
Traditionally undervalued in the tech industry, empathy -- which is the ability to read and respond to another person's feelings, thoughts and experiences -- is a trait hiring managers and C-level executives can no longer ignore. After all, in a world where artificial intelligence will take up to 5 million jobs away from humans by 2020, the McKinsey Global Institute predicts that up to 14% of human workers will need to adapt to new occupations to secure our future in the workforce. In other words, as we start sharing the workforce with more machines, human soft skills such as empathy will be at a premium. And, that premium is justified. Hiring employees who are empathetic helps companies increase productivity, develop strong leadership and retain high-performing talent.
Traditional approaches to leadership development no longer meet the needs of organizations or individuals. There are three: (1) Organizations, which pay for leadership development, don't always benefit as much as individual learners do. A growing assortment of online courses, social platforms, and learning tools from both traditional providers and upstarts is helping to close the gaps. The need for leadership development has never been more urgent. Companies of all sorts realize that to survive in today's volatile, uncertain, complex, and ambiguous environment, they need leadership skills and organizational capabilities different from those that helped them succeed in the past. There is also a growing recognition that leadership development should not be restricted to the few who are in or close to the C-suite. With the proliferation of collaborative problem-solving platforms and digital "adhocracies" that emphasize individual initiative, employees across the board are increasingly expected to make consequential decisions that align with corporate strategy and culture.
As an evolutionary anthropologist, I have spent my career working to understand the mechanisms of human relationships and the role they play in our daily lives. Our sociability sits at the very center of what it means to be human; I have witnessed that as I have studied the love between parents and children, the sense of belonging that bonds soccer fans, or the camaraderie of an army unit. But the emergence of social media, and more recently artificial intelligence, continues to have a profound impact on how our social relationships function, and the essential benefits we derive from them. After water, food, and shelter, the single most powerful influence on our health and happiness is the strength of our social connections. Our relationships with friends, family, and colleagues underpin our emotional lives through a complex set of neurological, psychological, genetic, and behavioral adaptations.
More than a year on from a child safety content moderation scandal on YouTube and it takes just a few clicks for the platform's recommendation algorithms to redirect a search for "bikini haul" videos of adult women towards clips of scantily clad minors engaged in body contorting gymnastics or taking an ice bath or ice lolly sucking "challenge." A YouTube creator called Matt Watson flagged the issue in a critical Reddit post, saying he found scores of videos of kids where YouTube users are trading inappropriate comments and timestamps below the fold, denouncing the company for failing to prevent what he describes as a "soft-core pedophilia ring" from operating in plain sight on its platform. He has also posted a YouTube video demonstrating how the platform's recommendation algorithm pushes users into what he dubs a pedophilia "wormhole," accusing the company of facilitating and monetizing the sexual exploitation of children. We were easily able to replicate the YouTube algorithm's behavior that Watson describes in a history-cleared private browser session which, after clicking on two videos of adult women in bikinis, suggested we watch a video called "sweet sixteen pool party." Clicking on that led YouTube's side-bar to serve up multiple videos of prepubescent girls in its "up next" section where the algorithm tees-up related content to encourage users to keep clicking.
In a recent talk at Stanford, Kai-Fu Lee says China has taken the lead. Lee is a venture capitalist and author of "AI Superpowers: China, Silicon Valley and the New World Order." Who's winning the worldwide competition to develop and exploit artificial intelligence? Not the U.S., says Kai-Fu Lee, a venture capitalist and author of AI Superpowers: China, Silicon Valley and the New World Order. Although researchers and tech companies in the U.S. hold the lion's share of AI patents and are responsible for key breakthroughs in the field, the game has changed, and China is taking the lead.
Moving on with the future of artificial intelligence (AI), a text prediction tool can now create a whole article based on the command of one single sentence. Researchers believe that while it can simplify a lot of academic tasks, there are numerous potential threats attached to it as well. A non-profit artificial intelligence research organisation, OpenAI has recently introduced its model called GPT-2 which is developed to write content like humans. With a context of nearly eight million pages fed in it, the model can easily predict about the next word or even whole article after you insert your own sentence to start the topic. Once fed, it will start producing results which are surprisingly more accurate than the human imagination.
Frrole's DeepSense AI doesn't have kind things to say about me. My stability potential -- a person's willingness to "give it their all" before they quit -- ranks as 4.6, a "medium" assessment marked by an ominous red bar. Other traits, like my learning ability and need for autonomy rank only slightly higher, while a short personality assessment is kinder: an optimistic attitude, a sunny disposition, a good listener. DeepSense has, for the moment, reduced me to a series of data points. The system has yanked information from my social profiles, from LinkedIn to Twitter, in an effort to sum me up as a person.