Azeem Azhar's Exponential View

Azeem Azhar
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May 22, 2019 • 36min

Embedding AI in Business

AI is the fastest-growing industry that Accenture’s CTIO Paul Daugherty has ever experienced. He joins Azeem Azhar to discuss how AI can help businesses across a broad range of industries enhance the value they offer customers. Paul’s 2018 bestselling book Human + Machine: Reimagining Work in the Age of AI laid the foundations for companies that want to harness AI to help innovate and grow quickly. Paul and Azeem also discuss: AI as a general-purpose technology and how to set priorities for its application. How critical it is to have data at the heart of your business. Can you use AI effectively if you don’t utilize the “data network effect?” The difference in an AI system that can interact with and modify human behavior from a company that puts out services or products that are highly addictive. How the rush to individualization moves us into “The Trust Age.” What are the practical steps companies can take to (re)build consumer trust? Self-regulation vs. external regulation, and the challenges of appropriately balancing regulation and innovation. Further reading: “The Future of AI Will Be About Less Data, Not More” (HBR, Jan. 14, 2019) “Accenture Interactive Launches Groundbreaking Artificial Intelligence Solution to Tackle Elderly Loneliness” (Accenture, April 30, 2019) “Using AI to Make Knowledge Workers More Effective” (HBR, April 19, 2019) “Hey Google, sorry you lost your ethics council, so we made one for you” (MIT Technology Review, April 6, 2019) “From Principles to Action: How do we Implement Tech Ethics?” (Industry Ethicists, April 17, 2019) Paul Daugherty @pauldaugh Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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May 15, 2019 • 39min

The Truth About Autonomy

Director of the Humans and Autonomy Lab at Duke University and one of the first female fighter pilots, professor Missy Cummings debates the current state of autonomy with Azeem Azhar. Taking a stance of techno-realism, Missy explains why we’re not even close to developing Level 5 autonomy in driving and why robotic surgery is still not safe. In this podcast, Missy and Azeem also discuss: The nonlinear upward movement across levels of automation. While early developments may take similar amounts of time and money, the final advancements demand exponentially more. The psychology behind why we will almost certainly always have human pilots on commercial flights. Why the United States’ certification system, based on equivalence, has never been suitable for autonomous systems — and how training regulators and policymakers alongside engineers might spark regulatory improvements that would foster safe innovation. Parallels between the cultures of Silicon Valley and the U.S. military and thoughts on why gender equality still hasn’t been achieved. Further reading: “Technological, Regulatory Innovation Needed to Ensure Safety in Autonomous Vehicle Research” (Duke, April 9, 2018) “FDA clears new robotically-assisted surgical device for adult patients” (U.S. Food & Drug Administration, Oct. 13, 2017) “Robotic Surgery: An Example of When Newer Is Not Always Better but Clearly More Expensive” (The Milbank Quarterly, March 2016) “‘I Don’t Know How Professors Teach Without Fighter-Pilot Experience'” (The Atlantic, April 26, 2018) “Ex-pilot: I understand Martha McSally’s pain” (CNN, March 8, 2019) Missy Cummings @missy_cummings Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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May 8, 2019 • 36min

AI and the Genetic Revolution

Michigan State University senior vice president Stephen Hsu, a theoretical physicist and the founder of Genomic Prediction, demonstrates how the machine learning revolution, combined with the dramatic fall in the cost of human genome sequencing, is driving a transformation in our relationship with our genes. Stephen and Azeem Azhar explore how the technology works, what predictions can and cannot yet be made (and why), and the ethical challenges created by this technology. In this podcast, Azeem and Stephen also discuss: FDA approval of the first genetic treatment for monogenic conditions and the work towards developing treatments for polygenic conditions like diabetes and cancer. How this technology might exacerbate existing social inequalities or create new ones; is it just an issue of access, or does it go further? Developing best practice protocols for governance and regulation of genomic technologies. Further reading: “FDA approves novel gene therapy to treat patients with a rare form of inherited vision loss” (Dec. 19, 2017) “Genomic Prediction of Complex Disease Risk” (Dec. 27, 2018) “How Direct-to-Consumer Genetic Testing Services Led to the Capture of the Golden State Killer” (September 2018) Stephen Hsu @hsu_steve Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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May 1, 2019 • 33min

When AI Meets Medicine

With healthcare under extreme commercial and political pressure, the doctor-patient relationship is at a low point — and risks further deterioration. But digital technologies promise to revolutionize the daily delivery of care. Renowned digital medicine pioneer Dr. Eric Topol and Azeem Azhar discuss what this could mean for medical professionals, patients, and national healthcare systems. In this podcast, Eric and Azeem also discuss: Issues of access: equality of access and coping with differential patient capability when participating in digital therapeutics. The impact of GDPR on the need for ‘explainable AI’ in medicine. Algorithmic surveillance and whether the traditional management culture of ‘patching’ bugs translates to digital therapeutics and pharmaceuticals. Data security and the possibility of a data ‘bill of rights’ for patients and consumers of medical tech. Further reading: “The Topol Review” (February 2019) “Mobile health devices diagnose hidden heart condition in at-risk populations” (July 10, 2018) “A call for deep-learning healthcare” in Nature Medicine Vol. 25 (Jan. 7, 2019) “NVIDIA, Scripps Research Translational Institute Partner on AI for Genomics, Digital Health Sensors” (Oct. 23, 2018) Dr. Eric Topol @EricTopol Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Apr 24, 2019 • 31min

The Innovation Economy

“We haven’t really understood the power of the state,” argues economist Mariana Mazzucato, warning that this has impacted the rising inequality in wealth creation and distribution. Mariana and Azeem Azhar discuss the role of government in innovation and business growth, risk-taking as the new mentality of bureaucracy, and how the benefits of entrepreneurial innovation have been misread. Above all, the case is made for a new theory of value in today’s economy. In this conversation, Mariana and Azeem also discuss: The role of the entrepreneurial state: moving away from the concept of the state as a facilitator and towards the state as an actor in the future of public-serving innovation. Why the GDP model is flawed — but why we should retain it as one of several economic indicators. Creeping privatization of the ‘data economy.’ Further Reading: “Yes, Government Creates Wealth” (September 2018) “Let’s make private data into a public good” (June 27, 2018) “Rethinking the Smart City” (January 2018) “The unlikely tech giant empowering citizens through data” (March 12, 2019) “Strategic design for public purpose” (March 8, 2019) Mariana Mazzucato @MazzucatoM Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Apr 17, 2019 • 33min

Creating the Data Economy

Our society has become increasingly reliant on data, but its value is not accessible to all. Of the 16 billion terabytes of data created globally in 2016, only 1% was analyzed. Among other discrepancies, the growing data monopolies concentrate power over certain technologies such as artificial intelligence precluding their positive impact on society. Trent McConaghy, AI researcher and the founder of the decentralized data exchange, Ocean Protocol, is aiming to solve this by enabling individuals and organizations to share, monetize, and access data. In this conversation, Trent and Azeem Azhar discuss: The real-world impact of deep learning and error reduction, and why we have not yet fully leveraged data’s learning potential. Early use cases of successful data exchange in mining and autonomous driving. Drawing distinctions between human rights and tradable property, should ownership of personal data be protected as a human right? Further Reading: “The Unreasonable Effectiveness of Data” (2009) “The Web3 Data Economy Towards a Transparent, Permissionless Ecosystem to Spread the Benefits of AI” (Nov. 22, 2018) “Major Automakers, Startups, Technology Companies and Others Launch Mobility Open Blockchain Initiative (MOBI)” (May 4, 2018) “Is It Your Data” (Jan. 22, 2019) “Should we treat data as labor? Let’s open up the discussion” (Feb. 21, 2018) “We need to own our data as a human right — and be compensated for it” (Jan. 21, 2019) “This AI Company Is The Future Of Gold Exploration” (February, 2019) Open Data Impact Map Trent McConaghy @trentmc0 Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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4 snips
Apr 10, 2019 • 32min

Designing Responsible AI

“Intelligence is central to everything humans do, and artificial intelligence should be no exception.” With these words, Joanna Bryson urges for stronger professional standards for software engineers and experts designing intelligent-like systems. Joanna is a tenured associate professor at the University of Bath in the United Kingdom, where she founded the Bath Intelligence Systems group. She is one of the world’s leading AI researchers, uniting the perspectives of computer science, psychology, and biology in her work. In this podcast, Azeem Azhar and Joanna explore: The role of goals in conceptualizing and programming intelligence systems — and who sets these goals? The risks and inadequacies of anthropomorphizing AI. The critical importance of assuring ongoing human involvement in AI systems. The explainability of AI systems and litigation over the definition of ‘explanation’ in light of EU’s General Data Protection Regulation (GDPR). Further Reading: Group Agency: The Possibility, Design and Agency of Corporate Agents (April 7, 2011) UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) Joanna Bryson et al, “Semantics derived automatically from language corpora contain human-like biases” (April 14, 2017) Nick Bostrom, “Ethical Issues in Advanced Artificial Intelligence” Joanna Bryson, “No one should trust AI – AND – Presenting robots as people stops us thinking clearly about AI” (Dec. 23, 2018) Joanna Bryson @j2bryson Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Apr 3, 2019 • 37min

Investing in Disruptive Innovation

In the late 1800’s, three innovation platforms shaped the world as we know it today: the telephone, electricity, and the internal combustion engine. Today, five powerful innovation platforms are accelerating at the same time: DNA sequencing, robotics, energy storage, deep learning, and blockchain technology. Cathie Wood, CEO and CIO of ArkInvest, is leading the way in investing in disruptive technologies at a time when many investors are holding back due to uncertainty. Azeem Azhar and Cathie discuss the multi-trillion-dollar opportunity in exponentially-developing industries, the role of incumbents, and how investors can shift gears to find comfort in risk. Further Reading: Moore’s Law Isn’t Dead: It’s Wrong — Long Live Wright’s Law (Jan. 2, 2019) On the Road to Full Autonomy with Elon Musk (Feb. 19, 2019) 18 Exponential Changes We Can Expect in the Year Ahead (Dec. 31, 2017) Cathie Wood @CathieDWood Azeem Azhar @azeem www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Feb 6, 2019 • 35min

Technology Diffusion and the Rise of Asia

Parag Khanna is a leading international relations expert and the author of The Future Is Asian: Commerce, Conflict and Culture in the 21st Century. Azeem Azhar and Parag discuss the law of technology diffusion, break common myths about Asia’s development, and question whether the future belongs to cities or nation-states. www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Jan 30, 2019 • 27min

Overcoming the Epistemic Crisis

Elif Shafak is an award-winning British-Turkish author and human rights activist. She has published 16 books, 10 of which are novels. The New York Review of Books called her latest novel, Three Daughters of Eve, a “marvelous lesson in multiculturalist angst, the clash between modernity and tradition, and the vicissitudes of personal struggle.” Elif and Azeem Azhar discuss the polarization of culture springing out of the foundations of the open internet, and the ways to tackle the pervasive issues in today’s digital technology sphere. www.exponentialview.co Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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