There has never been a time when the risk of technology ruining our humanity has been bigger. This book is not for the engineers that write the code, the policy makers who claim they can regulate it or the experts that keep creating the buzz around it. They all know what I’m about to tell you. This is a book for you. Because, believe it or not, you are the only one that can fix it' Mo Gawdat The answer to how we can prepare the machines for this ethically complex world resides in the way we raise our own children and prepare them to face our complex world’ The solution-to-problem relationship is like trying to use afly swatter to bat away a nuclear warhead.

Scary Smart: The Future of Artificial Book Review: Scary Smart: The Future of Artificial

I found a few graphs, which were useful. I found the circled points a little annoying, but maybe the author learns better this way. Including regulating our environment and economy and everything else computers currently do, and a whole lot more that we simply can’t predict, because we won’t be the ones inventing it or even making it anymore.

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I’m not sure where the positivity spoken of is - Gawdat’s answer is again, like so much current tosh: be stoic and mindful in the face of the unrelenting tsunami of social media, online advertising and coercion activity, and In doing this we will teach AI to be nice (?!?!?!) It’s hard to remember how different life was before smart phones. That is, until the internet goes out and you have like NOTHING happening, and you can’t tolerate existing. uses ellipsis and mid line placement to stress what it thinks are important points, like an 8 year old’s creative writing.

Scary Smart: The Future of Artificial Intelligence and Scary Smart: The Future of Artificial Intelligence and

We should teach others so we collectively become smarter at identifying AI that is good for humanity. "Matching algorithm" on recommendation engines is actually a filtering algo or just trying to convince you to buy what other people bought. AI is already more capable and intelligent than humanity. Today's self-driving cars are better than the average human driver and fifty per cent of jobs in the US are expected to be taken by AI-automated machines before the end of the century. In this urgent piece, Mo argues that if we don’t take action now – in the infancy of AI development – it may become too powerful to control. If our behaviour towards technology remains unchanged, AI could disregard human morals in favour of profits and efficiency, with alarming and far-reaching consequences.

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AI will be a billion times smarter than humans by 2049. Scary Smart discusses how to correct the present course today for AI in the future to be able to save the human species. This book provides a roadmap for what we can do to protect ourselves, our loved ones, and the world as a whole. Mo Gawdat said that technology is placing our humanity in jeopardy on a never-before-seen scale. This book is not intended for code writers or policymakers who claim to be able to govern it. This is the book you’ve been looking for. Because, believe it or not, you are the only one who can solve the problem. So, you go across the Atlantic and the moral makeup is patriotism and it’s ok to kill the other guy. You go in Dharamsala, where the Dalai Lama and the Buddhists would live, and they go, like, ‘don’t kill a fly’, right? We haven’t agreed… We haven’t managed to agree. And I think my book is centred around this. And you know that because always the very last statement of any one of my books is basically the summary of the message and the summary of scary smart is, isn’t it ironic that the core of what makes us human – love, compassion and happiness, is what could save us in the age of the rise of the machines? And I think if we were to be realistic, the only ethics humanity has ever agreed was that we all want to be happy. Children don't learn from what you say. They learn from what you do." AIs are already reading and learning from what we say and choose and do online. And what we support. Every year we create more information than we created in human history to date. So "the store of collective human knowledge is diluted by 50% each year" and altered in tone by the new data.

Scary Smart: The Future of Artificial Intelligence and

Teach each other how to teach the AI. (This ought to be 'one another' as more than two people are involved.) The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally bestselling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than thirty years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. When you really think about it, they may choose to connect to the Great Ape, because it’s a much better physical specimen than we are. And the difference between our intelligence and them is irrelevant in comparison to the difference between our intelligence and super-intelligence. So, if we’re 100% more smart than the Great Ape, we’re still 1%of the intelligence of the machines. So, what difference does it make anyway? Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. – Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally bestselling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than thirty years’ experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. By 2049 AI will be a billion times more intelligent than humans. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love and the planet itself. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World by Mo Gawdat – eBook Details

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Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? Because the cost of generating, of creating an iPhone, if you’re as intelligent as life itself, is almost nil. You can create an iPhone from nanoparticles or from its basic constituents with solar energy at no cost at all if you’ve created the robots that can create it. Is that a possible scenario? Yes, that’s also a possible scenario. The difference between them, however, is what we are going to do. And the biggest mistake, the biggest miss is that we can enslave AI. So, you started your questions with the discussions that are happening to ensure that we are in a good place. And the discussions are still firmly anchored in the arrogance of humanity, which is discussions around regulation and something that in computer science we call the control problem. I can argue for 200 technical reasons why the control problem is not going to be resolved, as optimistically as the scientists will say. I can argue for business problems and capitalist problems. Another highlight for me was his unique take on how our actions today – both individually and collectively – can influence the AI of tomorrow. It’s a compelling perspective that emphasizes our agency and responsibility in this rapidly advancing digital age. Instead of painting a picture where AI is something done to us, he suggests it's something we can shape and mold, at least to a certain degree. This concept, which he discusses in various chapters, adds a hopeful undertone to the narrative. I read a borrowed copy of this book courtesy of my local indie bookstore, which is hosting a talk on the subject of AI soon.