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Machines Like Us

Machines Like Us

The Globe and Mail

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5.0

(17)

Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching future. He’ll speak with entrepreneurs building world-changing technologies, lawmakers trying to ensure they’re safe, and journalists and scholars working to understand how they’re transforming our lives.
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Top 10 Machines Like Us Episodes

Goodpods has curated a list of the 10 best Machines Like Us episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Machines Like Us for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Machines Like Us episode by adding your comments to the episode page.

Machines Like Us - The Brain Is Not a Computer
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01/20/22 • 57 min

Many unlocked mysteries remain about the workings of the human brain. Neuroscientists are making discoveries that are helping us to better understand the brain and correct preconceived notions about how it works. With the dawn of the information age, the brain’s processing was often compared to that of a computer. But the problem with this analogy is that it suggested the human brain was hard-wired, able to work in one particular way only, much as if it were a computer chip, and which, if damaged, could not reroute itself or restore function to a damaged pathway.

Taylor Owen’s guest this week on the Big Tech podcast is a leading scholar of neuroplasticity, which is the ability of the brain to change its neural networks through growth and reorganization. Dr. Norman Doidge is a psychiatrist and author of The Brain That Changes Itself and The Brain’s Way of Healing. His work points to just how malleable the brain can be.

Dr. Doidge talks about the brain’s potential to heal but also warns of the darker side of neuroplasticity, which is that our brains adapt to negative influences just as they do to positive ones. Today, our time spent in front of a screen and how we interact with technology are having significant impacts on our brains, and those of our children, affecting attention span, memory and recall, and behaviour. And all of these changes have societal implications.

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Machines Like Us - Borders Matter – Even in Cyberspace
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03/24/22 • 46 min

A fundamental feature of the internet is its ability to transcend borders, connecting people to one another and all forms of information. The World Wide Web was heralded as a global village that would remove the traditional gatekeepers and allow anyone a platform to be heard. But the reality is that access to the internet and online services is very much bound to geography. A benign example is the location lockouts to online streaming platforms depending on which country you access. But more extreme examples of how location is inherently tied to internet access occur in authoritarian regimes that will limit access during uprisings, filter and block content, and surveil online conversations and then make real-world arrests.

In this episode of Big Tech, host Taylor Owen speaks with Nanjala Nyabola, a CIGI fellow, political analyst and author of Digital Democracy, Analogue Politics: How the Internet Era is Transforming Politics in Kenya and Travelling While Black: Essays Inspired by a Life on the Move.

Governments have been working on platform governance and content moderation reforms for a few years now, and the need to find solutions and set rules becomes increasingly important – just look at how misinformation and censorship have been playing out in Russia and other authoritarian states over the last few weeks during the war in Ukraine. In Nyabola’s work on internet governance, she proposes that rather than look for global consensus on regulation, we need to think of the internet as a public good. “Water isn’t administered the same way in Kenya as it is in Uganda, as it is in Ethiopia, as it is in the United States; different municipalities will have different codes. But there is a fundamental agreement that water is necessary for life and should, as far as possible, be administered as a public utility.” Nyabola explains that governing the internet requires first setting out its fundamental aspects that humanity wants to safeguard and then protecting those common principles while allowing jurisdictions deliver this public good in their own unique ways.

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People are divided: you are either pro-vaccination or against it, and there seems to be no middle ground. Whether around the dinner table or on social media, people are entrenched in their positions. A deep-seated mistrust in science, despite its contributions to the flourishing of human life, is being fuelled by online misinformation. For the first time in history, humanity is in the midst of a pandemic with communication tools of almost unlimited reach and potential benefit, yet social media and the information economy appear structured to promote polarization. Take the case of The Joe Rogan Experience podcast on Spotify: Rogan, a comedian, is able to engage millions of listeners and spread, unchecked, misinformation about COVID-19 “cures” and “treatments” that have no basis in evidence. What responsibility does Spotify have as the platform enabling Rogan to spread this misinformation, and is it possible for the scientific community to break through to skeptics?

In this episode of Big Tech, host Taylor Owen speaks with Timothy Caulfield, the author of bestselling books such as Is Gwyneth Paltrow Wrong About Everything? and The Vaccination Picture. He is also the Canada Research Chair in Health Law and Policy at the University of Alberta. Throughout the COVID-19 pandemic, Caulfield has been outspoken on Twitter about medical misinformation with the #ScienceUpFirst campaign.

What we have learned though the pandemic is how critical it is to have clear public health communication, and that it is remarkably difficult to share information with the public. As everyone rushed to provide medical advice, people were looking for absolutes. But in science, one needs to remain open to new discoveries, so, as the pandemic evolved, guidelines were updated. As Caulfield explains, “I think it’s also a recognition of how important it is to bring the public along on that sort of scientific ride, saying, Look, this is the best advice we can give right now based on the science available.” When health guidelines are presented in a dogmatic way, it becomes difficult to share new emerging research; misunderstood or outdated facts become weaponized by those trying to discredit the public health sector who point to what was previously known and attempt to muddy the discourse and sow doubt. And that doubt leads to mistrust in institutions, the rise of “alternative facts,” the sharing of untested therapeutics on popular podcasts — and a convoy of truckers camped out in the Canadian capital to protest COVID lockdown and vaccine mandates.

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On the season finale of Big Tech, host Taylor Owen discusses the future of tech governance with Azeem Azhar, author of The Exponential Age: How Accelerating Technology is Transforming Business, Politics, and Society. In addition to his writing, Azeem hosts the Exponential View podcast, which, much like this podcast, looks at how technology is transforming business and society.

Taylor and Azeem reflect on some of the broad themes that have concerned them this season, from platform governance, antitrust and competition, to polarization, deliberative democracy and Web3. As listeners have come to know, Taylor often views technology’s future through a cautionary lens, while Azeem has a more optimistic outlook. They begin with the recent news of Elon Musk’s attempt to purchase Twitter and what that might mean for the platform. As the episode unfolds, Taylor and Azeem touch on the varied approaches to tech regulation around the world, and how polarization and its amplification via social media are impacting democracy. They discuss Web3’s potential to foster more transparency and trust building on the internet, as well as the need for states to be involved in shaping our future online. Ultimately, there are opportunities to make positive changes at many levels of these complex, multilayered issues. As a concluding thought, Azeem points to the coal industry as an example of how, regardless of political winds, many factors in a system can bring about change.

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Machines Like Us - What Happens If We Live Forever?
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03/31/22 • 51 min

Humanity has long imagined a future where humans could live for hundreds of years, if not forever. But those ideas have been the stuff of science fiction, up until now. There’s growing interest and investment in the realm of biohacking and de-aging, and leading scientists such as Harvard’s David A. Sinclair are bringing the idea of extended lifespans out of fantasy into a reality we may see within our generation. But a world where more people are living a lot longer than ever thought possible will have sweeping economic and social consequences.

In this episode of Big Tech, host Taylor Owen speaks with journalist Matthew D. LaPlante, co-author of Lifespan: Why We Age — And Why We Don’t Have To with David A. Sinclair. LaPlante’s focus is on the impacts longer lifespans will have, rather than on the technology involved in achieving de-aging. For example: When people live longer, where do we set the retirement age? Can the planet support more humans? And how will we deal with our past choices when we live long enough to see their impacts on our great-great-grandchildren?

In this wide-ranging conversation, Taylor and Matthew discuss more implications longer life would have on our society. In the justice system, appointing a 50-year-old to the Supreme Court looks very different when that person could live to 110 rather than 80. What about geopolitical stability, if autocrats and dictators can extend their lives to maintain power for much longer periods? And what are the implications for medical privacy when technology companies are using monitoring devices, such as the ubiquitous smart watch, in conjunction with artificial intelligence to predict when someone may develop an illness or have a heart attack?

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Machines Like Us - Early Women Innovators Offer Tech a Way Forward
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02/24/22 • 45 min

In the history of computers and the internet, a few names likely come to mind: Alan Turing, Tim Berners-Lee, Bill Gates and Steve Jobs. Undoubtedly, these men’s contributions to computer sciences have shaped much of our modern life. In the case of Jobs and Gates, their financial success shifted the landscape of software development and the metrics of success in Silicon Valley. Some sectors of the industry, such as programming, hypertext and databases, had been dominated by women in the early days, but once those areas became economic drivers, men flooded in, pushing aside the women. In the process, many of their contributions have been overlooked.

In this episode of Big Tech, host Taylor Owen speaks with Claire L. Evans, a musician, internet historian and author of Broad Band: The Untold Story of the Women Who Made the Internet. Evans’s book chronicles the work of women involved in creating the internet but left out of its history.

Owen and Evans reflect on several important milestones of the early internet where women were innovating in community building and the moderation of message boards. Evans reveals a little-known history of the early web and the women involved. One aspect that stands out is how the projects that women led focused on building trust with users and the production of knowledge rather than the technical specifications of microprocessors or memory storage. Today, in the face of online harms, misinformation, failing institutional trust and content moderation challenges, there is a great deal we can learn from the work women were already doing decades ago in this space.

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Machines Like Us - What Does Real Democracy Look Like?
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01/13/22 • 44 min

Democracy is in decline globally. It’s one year since the Capitol Hill insurrection, and many worry that the United States’ democratic system is continuing to crumble. Freedom House, an America think tank, says that nearly three-quarters of the world’s population lives in a country that experienced democratic deterioration last year. The rise of illiberalism is one reason for this, but another may be that democratic governments simply haven’t been performing all that well in recent years.

In this episode of Big Tech, host Taylor Owen speaks with Hélène Landemore, author of Open Democracy and Debating Democracy and professor of political science at Yale University. Landemore’s work explores the limitations of casting a vote every few years for a candidate or political party and how in practice that isn’t a very democratic process. “Electoral democracy is a closed democracy where power is restricted to people who can win elections,” she says. Positions on issues become entrenched within party lines; powerful lobbyists exert influence; and representatives, looking ahead to the next election, lack political will to lead in the here and now.

In an open democracy, citizens would be called on to debate issues and create policy solutions for problems. “If you include more people in the conversation, in the deliberation, you get the benefits of cognitive diversity, the difficulties of looking at problems and coming up with solutions, which benefits the group ultimately,” Landemore explains. In response to the yellow jacket movement in France, the government asked 150 citizens to come up with climate policies. Over seven weekend meetings, that group came up with 149 proposals on how to reduce France’s greenhouse gas emissions. In Ireland, a group of citizens was tasked with deliberating the abortion topic, a sensitive issue that was deadlocked in the political arena. The group included pro-life and pro-choice individuals and, rather than descending into partisan mud-slinging, was able to come to the recommendation, after much civil deliberation, that abortion be decriminalized.

Landemore sees the French and Irish examples as precedents for further exploration and experimentation and that “it means potentially going through constitutional reforms to create a fourth or so chamber called the House of the People or something else, where it would be like a parliament but just made up of randomly selected citizens.”

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Machines Like Us - From the Beginnings of Fake News to the Capitol Riots
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01/06/22 • 44 min

On the first anniversary of the January 6 insurrection at the United States Capitol, Big Tech host Taylor Owen sits down with Craig Silverman to discuss how the rise of false facts led us to that moment. Silverman is a journalist for ProPublica and previously worked at Buzzfeed News, and is the editor of the Verification Handbook series.

Before Donald Trump popularized “fake news” as a blanket term to attack mainstream news outlets, Silverman had been using it to mean something different and very specific. Fake news, also known as misinformation, disinformation or false facts, is online content that has been intentionally created to be shared on social media platforms. Before it was weaponized as a tool for election interference, fake news was simply a lucrative clickbait market that saw higher engagement than traditional media. And social media platforms’ algorithms amplified it because that higher engagement meant people spent more time on the platforms and boosted their ad revenue.

After establishing the origins of misinformation and how it was used to manipulate the 2016 US presidential election, Owen and Silverman discuss how Facebook, in particular, responded to the 2020 US presidential election. Starting in September 2020, the company established a civic integrity team focusing on, among other issues, its role in elections globally and removed posts, groups and users that were promoting misinformation. Silverman describes what happens next. “After the election, what does Facebook do? Well, it gets rid of the whole civic integrity team, including the group’s task force. And so, as things get worse and worse leading up to January 6, nobody is on the job in a very focused way.” Before long, Facebook groups had “become an absolute hotbed and cesspool of delegitimization, death threats, all this kind of stuff,” explains Silverman. The lie that the election had been rigged was spreading unchecked via organized efforts on Facebook. Within a few weeks of the civic integrity team’s dismantling, Trump’s supporters arrived on Capitol Hill to “stop the steal.” It was then, as Silverman puts it, “the real world consequences came home to roost.”

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Machines Like Us - How Europe Is Trying to Rein in Big Tech
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01/27/22 • 29 min

Governments around the world are looking at their legal frameworks and how they apply to the digital technologies and platforms that have brought widespread disruptive change to their economies, societies and politics. Most governments are aware that their regulations are inadequate to address the challenges of an industry that crosses borders and pervades all aspects of daily life. Three regulatory approaches are emerging: the restrictive regime of the Chinese state; the lax, free-market approach of the United States; and the regulatory frameworks of the European Union, which are miles ahead of those of any other Western democratic country.

In this episode of Big Tech, host Taylor Owen speaks with Mark Scott, the chief technology correspondent at Politico, about the state of digital technology and platform regulations in Europe.

Following the success of implementing the General Data Protection Regulation, which went into effect in 2018, the European Parliament currently has three big policy proposals in the works: the Digital Services Act, the Digital Markets Act and the Artificial Intelligence Act. Taylor and Mark discuss how each of these proposals will impact the tech sector and discuss their potential for adoption across Europe — and how many other nations, including Canada, are modelling similar regulations within their own countries.

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Machines Like Us - The Entrenched Colonialism of Tech
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02/03/22 • 42 min

Time and time again, we see the billionaire tech founder or CEO take the stage to present the latest innovation meant to make people’s lives better, revolutionize industries and glorify the power of technology to save the world. While these promises are dressed up in fancy new clothes, in reality, the tech sector is no different than other expansionist enterprises from the past. Their core foundation of growth and expansion is deeply rooted in the European and American colonialization and Manifest Destiny doctrines. And just as in the past, the tech sector is engaging in extraction, exploitation and expansion.

In this episode of Big Tech, host Taylor Owen speaks with Jeff Doctor, who is Cayuga from Six Nations of the Grand River Territory. He is an impact strategist for Animikii, an Indigenous-owned technology company.

Doctor isn’t surprised that technology is continuing to evolve in the same colonial way that he saw growing up and was built into television shows, movies and video games, such as the popular Civilizations franchise, which applies the same European expand-and-conquer strategy to winning the game regardless of the society a player represents in the game. “You see this manifested in the tech billionaire class, like all of them are literally trying to colonize space right now. It’s not even a joke any more. They grew up watching the same crap,” Doctor says.

Colonialism and technology have always been entwined. European expansionism depended on modern technology to dominate, whether it be through deadlier weapons, faster ships or the laying of telegraph and railway lines across the west. Colonization continues through, for example, English-only development tools, and country selection dropdown options limited to “Canada” or the “United States” that ignore Indigenous peoples’ communities and nations. And, as governments grapple with how to protect people’s personal data from the tech sector, there is little attention paid to Indigenous data sovereignty, to ensure that every nation and community has the ability to govern and benefit from its own data.

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FAQ

How many episodes does Machines Like Us have?

Machines Like Us currently has 81 episodes available.

What topics does Machines Like Us cover?

The podcast is about Society & Culture, Society, Big Tech, Podcasts, Technology and Artificial Intelligence.

What is the most popular episode on Machines Like Us?

The episode title 'The Brain Is Not a Computer' is the most popular.

What is the average episode length on Machines Like Us?

The average episode length on Machines Like Us is 38 minutes.

How often are episodes of Machines Like Us released?

Episodes of Machines Like Us are typically released every 14 days.

When was the first episode of Machines Like Us?

The first episode of Machines Like Us was released on Oct 25, 2019.

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