We can train AI to identify good and evil, and then use it to teach us morality


When it comes to tackling the complex questions of humanity and morality, can AI make the world more moral? Morality is one of the most deeply human considerations in existence. The very nature of the human condition pushes us to try to distinguish right from wrong, and the existence of other humans pushes us to treat others by those values. What is good and what is right are questions usually reserved for philosophers and religious or cultural leaders. But as artificial intelligence weaves itself into nearly every aspect of our lives, it is time to consider the implications of AI on morality, and morality on AI.

Why banks are betting smart money on AI in bid to stay on top


In an industry that is progressing at a blistering speed, finance's only option to stay on top of the game is with AI, reducing the roles humans have played for centuries. Unless you've been hiding under a rock for the past two years, you would have seen the bedlam surrounding the stratospheric rise of cryptocurrency. This is particularly relevant with bitcoin, going from something at the fringe of fintech to the mainstream as every person and their dog suddenly considered investing in a real unknown quantity. While its long-term existence remains to be seen, the continued interest has shown that traditional banks and the latest start-ups have identified that the old ways of turning up to a branch, or even using an ATM, could be the banking equivalent of watching a movie on VHS. In its place comes a raft of new technologies, none more so apparent than the one that promises to not only shake up how customers interact with their banks, but how banks fundamentally operate: artificial intelligence (AI).

Artificial Intelligence - Man Vs Machine


Human civilization has come a long way since the times of using Stone Age and Iron Age implements for hunting, agriculture, mobility and in general, for addressing all aspects of human existence . The basic urge to improve the quality of life by using tools is perhaps hardwired into the human brain as evidenced by many inventions across all the cultures of the world, including primitive societies of today. With the advent of industrial revolution in England in 17th century, machines came to be invented and the power of coal, and later electricity and other sources of energy came to be harnessed for purposes which were until then undertaken by manual or animal labour or even impossible to be done. One basic characteristic of all human inventions which continue unabated till date has been that though they helped reduce the drudgery of humankind, they were designed to merely obey human commands and often perform repetitive jobs with immense power, precision, unerring accuracy and efficiencies bordering on the unfathomable . In other words, most machines were "dumb" and possessed no "native" intelligence that would enable them to learn, memorize and execute tasks of ambiguity like humans do.

Saving ourselves in the era of Artificial Intelligence


When Elon Musk stated, 'AI is a fundamental risk to human civilisation,' the tech world lost their minds. AI supporters and doomsayers fought in the digital battlefield, leaving many more devastated with fear and doubt. Allow me to throw my two-cents into this pool of thought. Whether we like it or not, society is at the cusp of big change and all predictions spell the end of our existence as we currently know humanity to be. The key words here are: "as we currently know humanity to be'.

On the Existence of a Sample Mean in Dynamic Time Warping Spaces

arXiv.org Machine Learning

The concept of sample mean in dynamic time warping (DTW) spaces has been successfully applied to improve pattern recognition systems and generalize centroid-based clustering algorithms. Its existence has neither been proved nor challenged. This article presents sufficient conditions for existence of a sample mean in DTW spaces. The proposed result justifies prior work on approximate mean algorithms, sets the stage for constructing exact mean algorithms, and is a first step towards a statistical theory of DTW spaces.

Adversarial vulnerability for any classifier

arXiv.org Machine Learning

Despite achieving impressive and often superhuman performance on multiple benchmarks, state-of-the-art deep networks remain highly vulnerable to perturbations: adding small, imperceptible, adversarial perturbations can lead to very high error rates. Provided the data distribution is defined using a generative model mapping latent vectors to datapoints in the distribution, we prove that no classifier can be robust to adversarial perturbations when the latent space is sufficiently large and the generative model sufficiently smooth. Under the same conditions, we prove the existence of adversarial perturbations that transfer well across different models with small risk. We conclude the paper with experiments validating the theoretical bounds.

'Altered Carbon' and TV's New Wave of Transhumanism


The future belongs to those who can afford it. This may be virtually true in today's world, where surviving retirement can feel impossible, but it's also the literal premise of Altered Carbon, Netflix's new prestige sci-fi series. Based on Richard K. Morgan's novel of same name, the neo-noir is set several hundred years in the future, when human consciousness has been digitized into microchip-like "stacks" constantly being swapped into and out of various bodies, or "sleeves."

David Pearce's answer to What is the latest view on the hard problem of consciousness? Is there really a hard problem or are we simply getting it wrong? - Quora


Materialism isn't merely inconsistent with all the empirical evidence. The ideology of materialist metaphysics also contributes to a stunted evidential base. Psychonauts from the scientific counterculture use entactogens to enrich their introspective consciousness. More radically, adopting the experimental method discloses uncharted state-spaces of consciousness that have never been recruited by natural selection for any information-signaling purpose. Drug-naïve scientific materialists are prone to dismiss such exotic states as psychotic "noise".

Views on Artificial Intelligence - Tech News #2


Technology companies such as Google, Microsoft, Facebook, etc. are including Artificial Intelligence into their businesses and developing it as one of the main technologies of future. Their priorities have changed from Mobile-First to AI-First.