Keynote by Suchi Saria

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Longtime Humanist Community member, and Board member, Marc Perkel will discuss his following beliefs and questions: If humanity ever invents Artificial Intelligence that is smarter than we are, it will be the last thing we’ll ever invent. That’s because the AI will do the inventing far faster than we ever could. This raises a lot of philosophical questions. When will AI be smarter than us? Sooner than you think!

What will it be like to not be the smartest species on the planet? Will the robots kill us off? What values will we teach AI to get it started? Why should humanity continue to exist once we create a superior species. Will we be able to pull the plug on it – or will it be able to pull the plug on us? Is Humanism limited to just humans? Do we need Religion for Robots? Shouldn’t we answer these questions BEFORE we create the AI?

從1956年第一次訂立人工智慧(Artificial Intelligence)這個名詞,到2016年圍棋對弈一戰成名的AlphaGo,「人工智慧到底會不會取代人類」一直是各方焦慮的質疑,而隨著機器學習與深度學習的發展,人工智慧快速精準的學習資料庫內的模型,不管是簡單的圖像辨識,或是複雜的醫學影像,都能夠做到比人類專家更精準的判讀。
身為一位人工智慧研究學者,許永真提出”AI is to empower people.” 人工智慧應是人類的助力,能夠縮短高重複性勞務時間並降低錯誤率,是協助人類解決複雜問題的一項技術。
我們不需要害怕機器取代人類,而是學習與機器合作,成為懂得善用人工智慧的人才。
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Will machines with artificial intelligence replace humans? This question has been the topic of discussion ever since AlphaGo defeated one of the world’s best Go players in 2016. AI researcher Jane Hsu argues that machine intelligence is not something to be feared; instead, we should embrace life with artificial intelligence as it is designed to empower people. Here, she gives a clear, easy-to-understand view of how machines that process information on a very sophisticated level will benefit humans in the near future. 臺大資訊工程學系教授。曾擔任台灣人工智慧協會的理事長與臺大資訊系系主任,其研究與教學主要著重於智慧型多代理人系統、資料探勘分析、以及感知運算。

目前擔任 Intel-NTU 中心的主任,協助促進台大、Intel與台灣國家科學委員會間的國際研究合作;也正於台大資訊系開授人工智慧的相關課程,並在創新設計學院開授「智齡設計-老人科技福祉專題」,期望透過結合資訊科技與創新思考的方式,帶領學生發揮創新思考並有能力將其付諸實現。

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Jane Hsu is currently a Professor of the Department of Computer Science and Information Engineering at National Taiwan University, where she served as the Department Chair from 2011 to 2014. As the Director of the NTU IoX Center, established in 2011 as the Intel-NTU Connected Context Computing Center, Prof. Hsu is leading the global research collaboration on Augmented Collective Beings and Internet of Things. With more than 30 years of experience in AI, her research interests include multi-agent planning/learning, crowd-sourcing, knowledge mining, commonsense computing, and context-aware smart IoT. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making.

In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines.

The webinar will explain:

What augmented intelligence is and how it can benefit business decision makers
What do business leaders need to understand about AI and machine learning to avoid traps
What are the risks in terms of ethics, compliance, and governance
Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies
Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. She is a board member of member of Boston University’s Alumni Council and the College of Arts & Sciences Dean’s Advisory board.

While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making.

In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines.

The webinar will explain:

What augmented intelligence is and how it can benefit business decision makers
What do business leaders need to understand about AI and machine learning to avoid traps
What are the risks in terms of ethics, compliance, and governance
Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies
Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. She is a board member of member of Boston University’s Alumni Council and the College of Arts & Sciences Dean’s Advisory board.

Princeton University researchers Arvind Narayanan, Aylin Caliskan and Joanna Bryson discuss their research on how human biases seep into artificial intelligence.

The singularity has been upon us since the 19th Century (Feat. Brendan Bradley & The Defective Geeks).
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Artificial Intelligence vs Humans – Jim disagrees with Stephen Hawking about the role Artificial Intelligence will play in our lives. Jim is an artificial intelligence .

IBM’s Watson supercomputer destroys all humans in Jeopardy. » Subscribe To Engadget Today: » Watch More Engadget Video Here: .

Although this excerpt is from pt. 3 of a 3 part interview, I highly recommend that you watch all 3 parts, in REVERSE order (3,2,1), by which I believe you’ll make .

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Ever imagined a world of robots and humans coexisting? Check out this video and find out when it might become a reality.

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Script –
Humans are making computers stronger, faster and more powerful every day. Robotic technologies continue to advance at an ever increasing rate, as scientists push to create a robot that rivals the physical ability, intelligence and emotion of human beings. But will this technology ever be as good as us?
In order for artificial intelligence or AI to be possible, computing power must meet or exceed the memory and processing power of the human brain. The human brain is estimated to have the processing power of 10 quadrillion calculations per second and as of 2015, the Tianhe-2 supercomputer in China could perform over 33 quadrillion calculations per second.However, although this is very impressive, the human brain is far more complex in structure and function than the super computer. The human brain has a complex network of billions of neurons, that receive and send out neurotransmitters, signals, messages and instructions to the entire body every second of our lives. The Tianhe-2 costs about $390 million to build, at its peak it draws more than 17.6 megawatts of power and the computer complex covers about 2,300 square feet. This system is not only massive, but expensive and extremely power hungry. The development of a computer that will emulate a human mind, is more than likely decades away. But a computer that has lots of memory and processing power isn’t enough, for it to be intelligent, an AI needs to behave intelligently. Major efforts for example are underway to map the human brain, this potentially could result in the discovery of consciousness, which could then lead to the development of synthetic consciousness. Giving a computer, a state of awareness or quality, allowing it the ability to experience or to feel or having a state of individual identity.But as the computers become smarter, scientists are also working on building it a body. An AI would need some way to affect the world around it. Using advanced robotics could mean enhanced precision, balance, maneuver ability, agility, speed, strength, durability and much more. Most robots designed today or the robots we see depicted in the movies are mostly shaped like humans. This is because machines shaped like people are best suited to navigate a world built by mankind. A robot that looks like a human could theoretically climb ladders and stairs, step over obstacles in its path, even drive a car for example. However some scientists believe that if you started to design a being from scratch, you could make a much better version of our selves. There are no real advantages to building robots that look like humans, but one thing that seems to drive the creation of a humanoid type robot is that people care more about something when it looks similar to humans.Scientists have so far brought us the Asimo, the Honda developed space suit looking robot. Probably the most famous bot, it is a cheerful and endearing little thing with an innocent look, that can walk, run and perform basic tasks. Other robots have been made like the pole dancing double act, lady bots, that can be bought for $39,500 and the slightly scary suit testing robot Petman. The anthropomorphic robot designed for testing chemical protection clothing, with its realistic human movements and simulated human physiology such as controlling temperature, humidity and sweating. Interacting humanoid robots also exist, such as Actriod, it can function autonomously, talking and gesturing with people. It knows sign language, such as “point” or “swing”, that automatically adapts to the position of the speaker.However Current robots designed over the last few years to match human capability still need a lot of work, but they could become a day to day reality sooner than we think. Some are predicting that robots of all types could fully replace humans by 2045.
So, at some point in the future, we are all more than likely going to be existing in a world were humans and robots live side by side. But will that future be peacefully, or are we setting our selves up for some sort of Terminator style robocalpse.

Attributes –
Asimo Program Stream-Centar za promociju nauke
Binary Code – Videvo
Neuron-Oliver Konow
Petman Tests Camo – Boston Dynamics
Pole dancing robot – Caroline Hyde
Speaking Robot – THE AGE OF ROBOTS – Massimo Brega
Music –
Sci Fi Music – httpwww.bensound.com
Outro – Hurry Up -Kevin Macleod Incomptech
Licensed under Creative Commons: By Attribution 3.0
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The founder of Tesla Motors and Space X, Elon Musk, described artificial intelligence as our ‘biggest existential threat’ while speaking at MIT.

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Artificial Intelligence vs Humans – Jim disagrees with Stephen Hawking about the role Artificial Intelligence will play in our lives.

Jim is an artificial intelligence researcher at Rensselaer Polytechnic Institute, and one of the originators of the Semantic Web.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Taking chatbots to the next level, with emotion recognition and gesture control. Dr Michel Valstar on Virtual Humans.

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Computerphile is a sister project to Brady Haran’s Numberphile. More at http://www.bradyharan.com

‘In the end’ is a long time period; it’s a very long time period. Who knows, by then? And you know, these guys who claim that we’ll see the singularity by 2030… Dude, I don’t believe that at all, by any means, shape or form. Will we see smart machines being able to do smarter things with data? Sure. I think there are all kinds of great opportunities there. But in terms of over the next 100 years, are machines going to be smarter than humans just because some IBM computer can beat humans at – I don’t even know – Jeopardy? Nah. I don’t find that that’s interesting, actually. I think doing smart things with data, doing a lot of analysis and so on… But you know, these are very limited sort of things. Even if you take something that is starting to get people excited using Siri on your iPhone – it feels pretty amazing first. When I tell Siri to book a table at Harvest on Friday at noon, when I can do that, I go like “Wow, that’s pretty cool.” But computers outsmarting humans? No, not for a long time.

3 Meaningful Minutes: Episode #1. Will Robots Ever Be As Smart As Humans? This video explores some things to consider on the subject.

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Here are some articles for further reading about today’s topic:

Why robots will not be smarter than humans by 2029

http://science.howstuffworks.com/robot-computer-conscious2.htm

More about this episode:
It’s a common fear in that finds its way into a lot of science fiction: Will robots/computers become smarter than humans and overpower us? We have devices like Siri and the Amazon Echo which can speak and interact with us. We have films and TV shows like I, Robot; Person of Interest; Revolution; and Terminator that show us what can happen when the cyber world becomes too powerful. Is it inevitable?

There may actually be hope. Consciousness is a very complex thing.

Debate in the comments!

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Those among us who fear world domination at the metallic hands of super-intelligent AI have gotten a few steps ahead of themselves. We might actually be outsmarted first by fairly dumb AI, says Eric Weinstein. Humans rarely create products with a reproductive system—you never have to worry about waking up one morning to see that your car has spawned a new car on the driveway (and if it did: cha-ching!), but artificial intelligence has the capability to respond to selective pressures, to self-replicate and spawn daughter programs that we may not easily be able to terminate. Furthermore, there are examples in nature of organisms without brains parasitizing more complex and intelligent organisms, like the mirror orchid. Rather than spend its energy producing costly nectar as a lure, it merely fools the bee into mating with its lower petal through pattern imitation: this orchid hijacks the bee’s brain to meet its own agenda. Weinstein believes all the elements necessary for AI programs to parasitize humans and have us serve its needs already exists, and although it may be a “crazy-sounding future problem which no humans have ever encountered,” Weinstein thinks it would be wise to devote energy to these possibilities that are not as often in the limelight.

Read more at BigThink.com: http://bigthink.com/videos/eric-weinstein-how-even-dumb-ai-could-outsmart-humans

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Transcript: There are a bunch of questions next to or adjacent to general artificial intelligence that have not gotten enough alarm because, in fact, there’s a crowding out of mindshare. I think that we don’t really appreciate how rare the concept of selection is in the machines and creations that we make. So in general, if I have two cars in the driveway I don’t worry that if the moon is in the right place in the sky and the mood is just right that there’ll be a third car at a later point, because in general I have to go to a factory to get a new car. I don’t have a reproductive system built into my sedan. Now almost all of the other physiological systems—what are there, perhaps 11?—have a mirror.

So my car has a brain, so it’s got a neurological system. It’s got a skeletal system in its steel, but it lacks a reproductive system.So you could ask the question: are humans capable of making any machines that are really self-replicative? And the fact of the matter is that it’s very tough to do at the atomic layer but there is a command in many computer languages called Spawn. And Spawn can effectively create daughter programs from a running program.

Now as soon as you have the ability to reproduce you have the possibility that systems of selective pressures can act because the abstraction of life will be just as easily handled whether it’s based in our nucleotides, in our A, C, Ts and Gs, or whether it’s based in our bits and our computer programs. So one of the great dangers is that what we will end up doing is creating artificial life, allowing systems of selective pressures to act on it and finding that we have been evolving computer programs that we may have no easy ability to terminate, even if they’re not fully intelligent.

Further if we look to natural selection and sexual selection in the biological world we find some very strange systems, plants or animals with no mature brain to speak of effectively outsmart species which do have a brain by hijacking the victim species’ brain to serve the non-thinking species. So, for example, I’m very partial to the mirror orchid which is an orchid whose bottom petal typically resembles the female of a pollinator species. And because the male in that pollinator species detects a sexual possibility the flower does not need to give up costly and energetic nectar in order to attract the pollinator. And so if the plant can fool the pollinator to attempt to mate with this pseudo-female in the form of its bottom petal, it can effectively reproduce without having to offer a treat or a gift to the pollinator but, in fact, parasitizes its energy. Now how is it able to do this? Because if a pollinator is fooled then that plant is rewarded. So the plant is actually using the brain of the pollinator species, let’s say a wasp or a bee, to improve the wax replica, if you will, which it uses to seduce the males.

AI pioneer and co-founder and chief scientist of Artificial Intelligence startup NNAISENSE Jurgen Schmidhuber recently stated that while machines will eventually be smarter than humans, there is no reason why the emerging technology should be feared.

Jurgen Schmidhuber has been involved in the AI field since the 1970s. In 1997, Schmidhuber helped publish a study on Long Short Term Memory, one of the concepts that ultimately became the roots of AI memory functions. Speaking during the Global Machine Intelligence Summit (GMIS) last year, the AI pioneer stated that he had big dreams for the technology since he first began studying the field. According to Schmidhuber, he wanted to build machines that can teach themselves.

The AI pioneer carried over his vision for advanced AI well into the present day. In a recent statement to CNBC News, Schmidhuber noted that eventually, machines will likely surpass humans in terms of intelligence.

“I’ve been working on AI for several decades, since the eighties basically, and I still believe it will be possible to witness that AIs are going to be much smarter than myself, such that I can retire,” he said.

Unlike other tech leaders such as Elon Musk and the late Stephen Hawking, Schmidhuber has adopted a more optimistic outlook on AI. Musk, for one, has frequently mentioned the dangers of hyper-intelligent computer systems, to the point of stating that AI could be more dangerous than nuclear warheads.

Schmidhuber, however, disagrees, stating that once AI surpasses humans’ intelligence, machines would likely just lose interest. The AI pioneer added that he and Musk had already spoken about the matter.

“I’ve talked to him for hours, and I’ve tried to allay his fears on that, pointing out that even once AIs are smarter than we are, at some point they are just going to lose interest in humans,” he said.

Schmidhuber believes that there are still concerns about the emergence of hyper-advanced computer systems, however. According to the AI pioneer, the real dangers of artificial intelligence lie not on machines, but on people themselves.

“If there are any concerns, it’s that humans should be worried about beings that are similar to yourself and share goals. Cooperation could result, or it could go to an extreme form of competition, which would be war,” he said.

Nevertheless, considering the pace and direction of AI research today, Schmidhuber remains optimistic. While the pioneer admitted that a portion of AI research is dedicated to making intelligent weapons, the vast majority of studies in the artificial intelligence field is geared towards helping people.

“About 95 percent of all AI research is about enhancing the human life by making humans live longer, healthier and happier,” he said.

In a lot of ways, Schmidhuber’s statements about human-friendly AI research and AI-based weapons rings true. While the Pentagon and countries like South Korea are exploring the concept of weaponized AI, several initiatives, i

Breaking the Wall between Human and Artificial Intelligence:

From the stuff of dystopian science fiction movies to everyday companions – with the rise of ubiquitous mobile computing power, artificial intelligence (AI) is already permeating modern life. As of 2017, deep learning algorithms power our phones’ voice-assistants, recommend the latest movies, and optimise our bike ride to work. AI has been heralded as the new electricity, soon to be found in almost every piece of technology we produce. To the man who has been described as “the father of modern AI”, this is merely the beginning. Although the artificial neural networks of Jürgen Schmidhuber’s team are now in 3 billion smartphones, he considers our current state of AI technology to be in the early stages of infancy. Whereas today’s seemingly smart algorithms are geared towards singular purposes – playing chess, matching love-hungry 30-somethings, or finding appropriate music for cooking – Jürgen’s goal has always been to create a general-purpose AI within his lifetime. His entire career has been dedicated to developing a software that would outsmart him, and though he readily admits that, as of now, the best general-purpose AI is only comparable to the intelligence of an infant animal, he is convinced that it will not be long before we develop systems that are far superior to us. At Falling Walls, Jürgen lays out the state of the art in his field of research and shares his vision of a future in which humans are no longer the crown of creation.

“What all of us have to do is to make sure we are using AI in a way that is for the benefit of humanity, not to the detriment of humanity.” Gaurav Sangtani, talked about how technology and artificial intelligence is changing the world. Around all fears how it can impact job markets and society at large and how can we adapt to it and move ahead with this change. Social Worker This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

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Publication Date: 1 January 1960

Description: Canadian computer scientist Yoshua Bengio on artificial intelligence and how we can create thinking and learning machines through algorithms.

Contributor Information: Joshua Bengio

On Wednesday December 6th, two teams of UTS academics and industry partners gathered at UTS for the hotly anticipated “Humans, Data, AI & Ethics – Great Debate”. The rhetorical battle raised the provocative proposition that:

“Humans have blown it: it’s time to turn the planet over to the machines”
The debate was preceded by our daytime Conversation which featured engaging panel discussions and Lightning Talks from UTS academics and partners in government and industry.

The debate took place in front of a large audience of colleagues and members of the public on the UTS Broadway campus. The Affirmative team (The Machines) argued that a productive relationship between humans and machines will help us to build a fairer, more efficient and more ecologically sustainable global society. Numerous examples of humanity’s gross dysfunction in governance and management were raised, from human-induced climate change to widening inequality and the recent election of unpredictable populist leaders. The team argued that finely (and ethically) tuned machines will help humans to solve these immense social and environmental challenges and maintain standards of equality, fairness and sustainability.

The Negative team (The Humans) cautioned against the rapid adoption of these hypothetical “ethical machines”, raising concerns about existing human prejudices and biases being built into AI. The team envisaged a dystopian world in which machines deny the possibility of human creativity, error or “happy accidents”, which have lead to so many important moments of discovery throughout history. According to the Negative, there are also numerous social services which as yet cannot be performed by AI. Healthcare provision for example, strongly depends on complex emotional intelligence, human tact and an ability to empathise and build rapport.

Ultimately, the Negative were adjudicated as the winner of the debate, to the relief of humanists and ethicists in attendance. The theatrical and good-humoured event was a rousing success, giving leading thinkers in the data science field an opportunity to flesh out challenging ideas surrounding data, AI, society and ethics in a responsive public forum.

Humans, Data, AI & Ethics – The Great Debate

The human vs. machine narrative is broken. Narcissistic advances in machine learning clash with what cognitive neuroscientists are revealing to be newly found intrepid capabilities of our brains. Hear how humanity will prevail in the times of exponential digitalisation and how we shall become proto-humans able to solve the abstract problems of the future with neoteny approaches. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Drones, driverless cars, robots that look and think like human… May intelligent systems really pose a threat to humans one day? Mateja addresses this question from a scientific perspective and talks about how the enormous amounts of data we have today can possibly allow machines to think indistinguishably from a human. She argues her faith in artificial intelligence as a supportive and effective system in the hands of human experts.

Mateja is a Senior Lecturer at the University of Cambridge Computer Laboratory. Having previously held an EPSRC Advanced Research Fellowship, Mateja is definitely disrupting that typical gender stereotype of a scientist in artificial intelligence. As a founder of women@CL she reminds all how important is to celebrate the gender diversity and help women aspire to leadership positions in both academia and in.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

George Yang is the founder and CEO of AI Pros, a tech start up which operates in Silicon Valley, California and Manila. Surrounded by technology and discussions of how Artificial Intelligence (A.I.) can replace Human Intelligence (H.I.), George Yang introduces the idea of Augmented Intelligence – how A.I. and H.I. can add value to the other and create something better entirely. George Yang is the founder and CEO of AI Pros, a tech start up which operates in Silicon Valley, California and Manila. Surrounded by technology and discussions of how Artificial Intelligence (A.I.) can replace Human Intelligence (H.I.), George Yang introduces the idea of Augmented Intelligence – how A.I. and H.I. can add value to the other and create something better entirely. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

In the last decade we have witnessed a tremendous development: the rise of the machines. The world is drenched in algorithms and they actively influence our world view. Are we ready? Marcel Blattner sheds light on why education is key for a healthy relationship between Artificial Intelligence and Humans.

Marcel Blattner is a data enthusiast and currently developing all kinds of machine learning algorithms for data voodoo at Tamedia. Before he started to explore the ‘data universe’ he spent several years as a researcher in academia where he got his PhD in theoretical physics. He speaks frequently at conferences and gives lectures in Artificial Intelligence.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

In this informative talk, Prof. Dan Siciliano explains how AI is hacking humans and offers practical ways to understand the system.

F. Daniel Siciliano is a Co-Director of Stanford’s Directors’ College, Co-Chair of the We Robot Conference on AI/Robotics, Law, and Policy, and is the immediate past faculty director of the Rock Center for Corporate Governance at Stanford University. Along with Joe Grundfest, Larry Kramer and Rob Daines, he co-founded the Rock Center in 2006 and, as a Professor of the Practice and Associate Dean at Stanford Law School, led the Center until 2017. His teaching includes finance, corporate governance, and the two-part Stanford venture capital series. His work has included expert testimony in front of both the U.S. Senate and the House of Representatives and for 2009, 2010 and 2011, alongside leading academics and business leaders such as Ben Bernanke, Paul Krugman and Carl Icahn, Professor Siciliano was named to the “Directorship 100”—a list of the most influential people in corporate governance.

Siciliano was also co-founder, CEO and ultimately Executive Chairman of LawLogix Group, Inc.—a global software technology company named nine consecutive times to the Inc. 500/5000, several times ranked as one of the Top 100 fastest growing private software companies in the U.S., and named to the U.S. Hispanic Business 500 (largest) and Hispanic Business 100 (fastest-growing) lists for 2010 and 2011. In 2012 he sold a majority stake of the company to PNC Riverarch Capital, continued as Executive Chairman, and led the sale of the company to Hyland Software/Thoma Bravo in 2015.

Siciliano is a co-founder and board member of the Silicon Valley Directors’ Exchange (SVDX), Chairman of the national non-partisan American Immigration Council, past-President of the League of United Latin American Citizens (LULAC) Council #1057, and an active member of the Latino Corporate Directors’ Association.

Professor Siciliano’s related areas of expertise include executive compensation, corporate compliance, the legal and social impact of autonomous (AI/robotic) systems, and corporate technology strategy and security. He has served as a governance consultant and trainer to the Board of Directors of dozens of Fortune 1000 companies (including Google, Microsoft, Fedex, Disney, Intrexon, Entergy and Applied Materials), is an angel investor and consultant to several firms and companies in Silicon Valley, Hong Kong, India and Latin America, and currently serves as an independent director on the board of the Federal Home Loan Bank of San Francisco. He lives in Los Altos, California.

For more information about TEDxPaloAlto please visit http://www.tedxpaloalto.com.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

A new technology called Artificial Swarm Intelligence could be our best defense against the emerging dangers of AI says Louis Rosenberg. http://bit.ly/2BDTHcs

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