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Hello Interactors,Watching all the transnational love at the Olympics has been inspiring. We're all forced to think about nationalities, borders, ethnicities, and all the flavors of behavioral geography it entails. After all, these athletes are all there representing their so-called “homeland.” And in the case of Alysa Liu, her father's escape from his. Between the 1989 Tiananmen Square massacre and the fall of the Berlin wall, “homeland” took on new meaning for many immigrants. This all took me back to that time and the start of my own journey at Microsoft at the dawn of a new global reality.HOMELAND HATCHED HEREWith all the focus on Olympics and immigration recently, I've found myself reflecting on my days at Microsoft in the 90s. As the company was growing (really fast), teams were filling up with people recruited from around the world. There were new accents in meetings, new holidays to celebrate, and yummy new foods and funny new words being introduced. This thickening of transnational ties made Redmond feel as connected the rest of the world as the globalized software we were building. By 2000 users around the world could switch between over 60 languages in Windows and Office. In behavioral geography terms, working on the product and using the product made “here” feel more connected to “elsewhere.”This influx of new talent was all enabled by the Immigration Act of 1990. Signed by George H. W. Bush, it increased and stabilized legal pathways for highly skilled immigrants. This continued with Clinton era decisions to expand H-1B visa allocations that fed the tech hiring boom. I took full advantage of this allotment recruiting and hiring interaction designers and user researchers from around the world. In the same decade the federal government expanded access to the United States, it also tightened security. Terrorism threats, especially after the 1993 World Trade Center bombing, spooked everyone. Despite this threat, there was more domestic initiated terrorism than outside foreign attacks. The decade saw deadly incidents like the Oklahoma City bombing in 1995 by radicalized by white supremacist anti-government terrorists, which killed 168 and injured hundreds, making it the deadliest terrorist attack in U.S. history before 9/11.A year later, the Atlanta Olympic bombing and related bombings by anti-government Christian extremists caused multiple deaths and injuries. Clinic bombings and shootings by anti-abortion extremists began in 1994 with the Brookline clinic shootings and continued through the 1998 Birmingham clinic bombing. These inspired more arsons, bombings, and shootings tied to white supremacist, anti-abortion, and other extreme ideologies.Still, haven been shocked by Islamist extremists in 1993 (and growing Islamic jihadist plots outside the U.S.) the federal government adopted new security language centered on protecting the “homeland” from outside incursions. In 1998, Clinton signed Presidential Decision Directive 62, titled “Protection Against Unconventional Threats to the Homeland and Americans Overseas,” a serious counterterrorism document whose title quietly normalized the term homeland inside executive governance.But there was at least one critical voice. Steven Simon, Clinton's senior director for counterterrorism on the National Security Council, didn't think “Defense of the Homeland” belonged in a presidential directive.Simon's retrospective argument is that “homeland” did more than name a policy, it brought a territorial logic of legitimacy that the American constitution had historically resisted. He recalls the phrase “Defense of the Homeland” felt “faintly illiberal, even un-American.” The United States historically grounded constitutional legitimacy in civic and legal abstractions (people, union, republic, human rights) rather than blood rights or rights to soil. Membership was to be mediated by institutions, employment, and law rather than ancestry.“Homeland” serves as a powerful cue that suggests a mental model of ‘home' and expands it to encompass a nation. This model is accompanied by a set of spatial inferences that evoke familiarity, appeal, and even an intuitive sense. However, it also creates a sense of a confined interior that can be breached by someone from outside.This is rooted in place attachment that can be defined as an affective bond between people and places — an emotional tie that can anchor identity and responsibility. But attachment is not the same thing as ownership. Research on collective psychological ownership shows how groups can come to experience a territory as “ours.” This creates a sense of ownership that can be linked to a perceived determination right. Here, the ingroup is entitled to decide what happens in that place while sometimes feeding a desire to exclude outsiders. When the word “homeland” was placed at the center of statecraft it primed public reasoning from attachment of place through care, stewardship, and shared fate toward property ownership through control, gatekeeping, and exclusion. It turns belonging into something closer to a property claim.What makes the 1990s especially instructive from a geography perspective is that “access” itself was being administered through institutions that are intensely spatial: consulates, ports of entry, employer locations, housing markets, and the micro-geographies of office life. The H-1B expansions was not simply generosity, but a form of managed throughput in a system designed to meet labor demand. And it was paired with political assurances about enforcement and domestic worker protections.Mid-decade legal reforms strengthened enforcement by authorities in significant ways. Mechanisms for faster removals and stricter interior enforcement reinforced the idea that the state could act more decisively within the national space. The federal government found ways to expand legal channels that served economic objectives while also building a governance style increasingly comfortable with interior control. “Homeland” helped supply the conceptual bridge that made that socioeconomic coexistence feel coherent.It continues to encourage a politics of boundary maintenance that determines who counts as inside, what kinds of movement are legible as normal, and which bodies are perpetually “out of place.” If the defended object is a republic, the default language justification is legal and civic. If the defended object is a homeland, the language jurisdiction becomes territorial and affective. That shift changes what restrictions, surveillance practices, and membership tests become thinkable and tolerable over time. HOMELAND'S HOHFELDIAN HARNESSIf “homeland” structures a place of belonging, then “rights” are the legal grammar that tells us what may be done in that place. The trouble is that “rights” are often treated as moral abstract objects floating above context. Legally, they are structured relations among people, institutions, and things. But “rights” can take on a variety of meanings.Wesley Hohfeld, the Yale law professor who pioneered analytical jurisprudence in the early 20th century, argued that many legal disputes persist because the word “right” is used ambiguously.He distinguished four basic “incidents” for rights: claim, privilege (liberty), power, and immunity. Each is paired with a position correlating to another party: duty, no-claim (no-right), liability, and disability. When the police pull you over for speeding you hold a privilege to drive at or below the speed limit (say, 40 mph). The state has no-right to demand you stop for going exactly 40 mph. But if you're clocked at 50 mph, the officer enforces your no-right to exceed the limit which correlates to the state's claim-right. You have a duty to comply by pulling over. If the officer then has power to issue a ticket, you face a liability to have your driving privilege altered (e.g., fined). But you also enjoy an immunity from arbitrary arrest without probable cause.Let's apply that to “homeland” security.If a politician says we must “defend the homeland,” it can mean at least four different things legally:* Claim-Rights: Citizens can demand that the government protect them (e.g., from attacks). Officials have the duty to act — think TSA screening or border patrol.* Privileges: Federal Agents get freedoms to act without legal blocks, such as stopping and questioning people in so-called high-risk zones, while bystanders have no-right to interfere.* Powers: Federal Agencies hold authority to change your legal status. For example, they can label you a watchlist risk (e.g., you become a liability). This can then lead to loss of liberties like travel bans, detentions, or asset freezes.* Immunities: Federal Officials or programs shield themselves from lawsuits (via qualified immunity or classified data rules), effectively blocking citizens' ability to sue.Forget whether these are legitimate or illegitimate, Hohfeld's point is they are different forms of rights — and each has distinct costs. Once “homeland” is the object, the system tends to grow powers and privileges (capacity for overt or covert operations), and to seek immunities (resistance to challenge), often at the expense of others' claim-rights and liberties.Rights are not only relational, but they are also often spatially conditional. The same person can move through zones of legality experiencing different practical rights. Consider border checkpoints, airports, perimeters of government buildings, protest cites, or regions declared “emergency” zones. Government institutions operationalize these spaces as “behavioral geographies” which determines who gets stopped, where scrutiny concentrates, and which movements count as suspicious.The state looks past the abstract bearer of unalienable liberties and due process to see only a physical entity whose movements through space dissolve their Constitutional immunities into a series of observable, trackable traces. Those traces become inputs to enforcement. This is what makes surveillance so powerful. “Homeland” governance is especially trace-hungry because it imagines safety as a property of space that must be continuously maintained.But these traces are behavioral cues and human behavior is never neutral. They are interpreted through normalized cultural and institutional schemas about who “belongs” in which places. Place attachment and territorial belonging can become gatekeeping mechanisms. Empirical work on homeland/place attachment links it to identity processes and self-categorization. Related work suggests that collective psychological ownership — “this place is ours” — can predict exclusionary attitudes toward immigrants and outsiders. In legal terms, those social attitudes can translate into pressure to expand state powers and narrow outsiders' claim-rights.A vocabulary rooted in a ‘republic' tends to emphasize rights as universal claims against the state. This is where we get due process, equal protection, and rights to speech and assembly. A homeland vocabulary tends to emphasize rights as statused permissions tied to membership and territory. Here we find rights of citizens, rights at the border, rights in “emergencies”, and rights conditioned on “lawful presence.” The shift makes some restrictions feel like a kind of protecting of the home. Hence the unaffable phrase, “Get off my lawn.”HOMELAND HIERARCHIES HUMBLEDIf the “homeland” is framed as a place-of-belonging and rights are the grammar of that place, then the current crisis of American democracy boils down to a dispute over the nature of equality. This tension is best understood through the long-standing constitutional debate between anticlassification and antisubordination, which dates back to the Reconstruction era. Anticlassification, often called the “colorblind” or “status-blind” approach, holds that the state's duty is simply to avoid explicit categories in its laws. Antisubordination, by contrast, insists that the law must actively dismantle structured group hierarchies and the “caste-like” systems they produce. When the state embraces a “homeland” logic, it leans heavily on anticlassification to mask a deeper reality of spatial subordination.In what we might call the “Theater of Defense,” agencies like the Department of Homeland Security (DHS) and Immigration and Customs Enforcement (ICE) increasingly rely on anticlassification principles to justify aggressive interior crackdowns. They frame enforcement as a territorial necessity by protecting the sanctity of the soil itself. A workplace raid or roving patrol, in this view, does not target any specific group. Instead, it simply maintains the “integrity” of the homeland. This reflects what law professor Bradley Areheart and others have described as the “anticlassification turn,” where formal attempts to embody equality end up legitimizing structural inequality.Put differently, the state exercises a Hohfeldian Power to alter individuals' legal status based on their geographic location or “lawful presence.” At the same time, it shields itself from legal challenge by insisting that the law applies equally to everyone who is “out of place.” This claim of territorial neutrality is a dangerous legal fiction. As scholars Solon Barocas and Andrew Selbst have shown in their work on algorithmic systems, attempts at neutral criteria often replicate entrenched biases. Triggers like “proximity to a border” or “behavioral traces” in a transit hub do not produce blind justice. They enable targeted scrutiny and the erosion of immunity for those whose identities fail to match the “belonging” model of the “homeland.” The state circumvents its Hohfeldian Disability, avoiding the creation of second-class statuses, by pretending to manage space rather than discriminate against persons.This shift from a civic Republic to a territorial “homeland” is the primary driver of democratic backsliding. Political scientist Jacob Grumbach captured this dynamic in his 2022 paper, Laboratories of Democratic Backsliding. Analyzing 51 indicators of electoral democracy across U.S. states from 2000 to 2018, Grumbach developed the State Democracy Index. His findings reveal how American federalism has morphed from “laboratories of democracy” into sites of subnational authoritarianism. States with low scores on the index — often under unified Republican control — have pioneered police powers that insulate partisan dominance. We see this in the rise of state-level immigration enforcement units, the criminalization of movement for marginalized groups, and the expansion of a “right to exclude.”These states are not just enforcing the law. They are forging what Yale legal scholar Owen Fiss would recognize as a new caste system. By fixating on “defending” state soil against “infiltrators,” legislatures dismantle the public rights of the Reconstruction era — the right to participate in community life without indignity. Today's backsliding policies transform the nation's interior into a permanent enforcement zone. They reject the Enlightenment ideals of America, rooted in beliefs like liberty, equality, democracy, individual rights, and the rule of law. To fully understand Constitutional history, we best acknowledge that America's universalist creedal definition wasn't solely European. David Graeber and David Wengrow's The Dawn of Everything shows how Enlightenment values of liberty and equality arose from intellectual exchanges with Indigenous North American thinkers. Kandiaronk, a Huron statesman, traveled to Europe in the late 17th century and debated French aristocrats. His critiques were published and circulated widely among European intellectuals, including Voltaire, Diderot, and Rousseau. Graeber and Wengrow point out that before the widely popular publication of these dialogues in 1703, the concept of "Equality" as a primary political value was almost entirely absent from European philosophy. By the time Rousseau wrote his Discourse on the Origin and Basis of Inequality Among Men in 1754, it was the central question of the age.Kandiaronk criticized European society's subservience to kings and obsession with property. He contrasted it with the consensual governance and individual agency of the Haudenosaunee Confederacy embodied in their Great Law of Peace — a political order prioritizing the public right to exist without state-sanctioned indignity.The writers of the U.S. Constitution codified a Republic of “unalienable rights,” synthesizing Indigenous/European-inspired liberty with Hohfeldian Disabilities that legally restrained the state from territorial monarchy. Backsliding erases this profound philosophical endeavor. Reclaiming the Republic means honoring the Indigenous critique that a nation's legitimacy rests on its people's freedom, not its fences.We seem to be moving from governance by the governed to protecting an ingroup. In Hohfeldian terms, the state expands its privileges while shrinking the claim-rights of the vulnerable to move and exist safely. This leads to “spatial subordination,” managed through adiaphorization — a concept from social theorist Zygmunt Bauman's 1989 Modernity and the Holocaust. Bauman, a Polish-Jewish survivor who escaped the Nazis' grip on his early life, drew “adiaphora” from the Greek for matters outside moral evaluation. Modern bureaucracies make horrific actions morally neutral by framing them as technical duties, enabling atrocities like the Holocaust without personal ethical torment.As territorial belonging takes precedence, non-belongers are excluded from moral and legal obligations. They become “non-spaces” or “human waste” in the eyes of ICE and DHS. This betrays antisubordination, the “core and conscience” of America's civil rights tradition, as Yale constitutional scholars Jack Balkin and Reva Siegel called it. A democracy can't endure if it permanently relegates any group to legal impossibility. In the “homeland”, immigrants may live, work, and raise families for decades, yet remain mere “traces” to expunge. Weaponized place attachment turns affective bonds into property claims. This empowers the state to “cleanse” those deemed to be “out of place.” Rights become statused permissions, not universal ideals. If immunity from search depends on territorial status, the Republic of laws has yielded to a Heimat — a term the Nazis' usurped for their blood-and-soil homeland…that they then bloodied and soiled.Reversing this demands confronting the linguistic and legal architecture that rendered it conceivable. It's time to rethink the “homeland” frame and its anticlassification crutch. A truer and fairer Republic would commit to antisubordination and the state would be disabled from wielding space for hierarchy. A person's immunity from arbitrary power should be closer to an inalienable right to be “secure in one's person” that holds firm beyond checkpoints or workplace doors…or your front door.Steven Simon was right to feel uneasy with Clinton's wording. “Homeland” planted a seed that sprouted into hedgerows of exceptional powers and curtailed liberties. Are we going to cling to a “homeland” secured by fear and exclusion, forever unstable, or finally become a Republic revered for securing universal law and rights? As long as our rights remain geographically conditional, we all dwell in liability. Reclaiming the Republic, and our freedoms within it, may require transforming the Constitution from a Hohfeldian map of perimeters into a boundless plane of human dignity it aspires to be. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit interplace.io
This is our second interview analyzing the impact of Google's decision not to deprecate third-party cookies on its Chrome browser. Daniel Jaye is a seasoned technology industry executive and currently is CEO and founder of Aqfer, a Marketing Data Platform on top of which businesses can build their own MarTech and AdTech solutions. Daniel has provided strategic, tactical and technology advisory services to a wide range of marketing technology and big data companies. Clients have included Brave Browser, Altiscale, ShareThis, Ghostery, OwnerIQ, Netezza, Akamai, and Tremor Media. He was the founder and CEO of Korrelate, a leading automotive marketing attribution company -purchased by J.D. Power in 2014- as well as the former president of TACODA -bought by AOL in 2007. Daniel was also the founder and CTO of Permissus, an enterprise privacy compliance technology provider. All of the above were preceded by his role as founder and CTO of Engage, acting CTO of CMGI and director of High Performance Computing at Fidelity Investments. He also worked at Epsilon and Accenture (formerly Andersen Consulting). Daniel Jaye graduated magna cum laude with a BA in Astronomy and Astrophysics and Physics from Harvard University. References: Daniel Jaye on LinkedIn Aqfer P3P: Platform for Privacy Preferences (W3C) Luke Mulks (Brave Browser) on Masters of Privacy Adnostic: Privacy Preserving Targeted Advertising (paper by Vincent Toubiana, Arvind Narayanan, Dan Boneh, Helen Nissenbaum, Solon Barocas)
Dr Blodgett is a senior researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group at Microsoft Research Montréal. She's broadly interested in examining the social and ethical implications of natural language processing technologies; she developed approaches for anticipating, measuring, and mitigating harms arising from language technologies, focusing on the complexities of language and language technologies in their social contexts, and on supporting NLP practitioners in their ethical work. Dr. Blodgett has also worked on using NLP approaches to examine language variation and change (computational sociolinguistics), for example developing models to identify language variation on social media. Dr. Blodgett completed a Ph.D. in computer science at the University of Massachusetts Amherst working in the Statistical Social Language Analysis Lab under the guidance of Brendan O'Connor, where they were also supported by the NSF Graduate Research Fellowship. Dr. Blodgett received a B.A. in mathematics from Wellesley College. She interned at Microsoft Research New York in summer 2019, where she had the fortune of working with Solon Barocas, Hal Daumé III, and Hanna Wallach. Ready to explore the research we discuss on this week's episode? https://www.youtube.com/watch?v=lLlj2LZGfQc https://www.researchgate.net/publication/371924250_Taxonomizing_and_Measuring_Representational_Harms_A_Look_at_Image_Tagging ------------------------------------------------------- Join Kathleen and Tricia at CEESA's conference in Malta this March Learn more: https://www.ceesaconference.com/2024/ ---------------------------------------------------------- For a transcript of this episode head to https://unhingedcollaboration.com/
Machine Learning can improve decision making in a big way -- but it can also reproduce human biases and discrimination. Solon Barocas joins Vasant Dhar in episode 24 of Brave New World to discuss the challenges of solving this problem. Useful resources: 1. Solon Barocas at his website, Cornell, Google Scholar and Twitter. 2. Fairness and Machine Learning -- Solon Barocas, Moritz Hardt and Arvind Narayanan. 3. Danger Ahead: Risk Assessment and the Future of Bail Reform: John Logan Koepke and David G. Robinson. 4. Fairness and Utilization in Allocating Resources with Uncertain Demand -- Kate Donahue and Jon Kleinberg. 5. Profiles, Probabilities, and Stereotypes -- Frederick Schauer. 6. Thinking Like a Lawyer: A New Introduction to Legal Reasoning -- Frederick Schauer. 7. Measuring the predictability of life outcomes with a scientific mass collaboration -- Mathew Salganik and others. 8. Inherent Trade-Offs in the Fair Determination of Risk Scores -- Jon Kleinberg, Sendhil Mullainathan and Manish Raghavan. 9. Limits to Prediction -- Arvind Narayanan and Matthew Salganik. 10. The Fragile Families Challenge. 11. Daniel Kahneman on How Noise Hampers Judgement -- Episode 21 of Brave New World. 12. Noise: A Flaw in Human Judgment -- Daniel Kahneman. 13. Dissecting “Noise” — Vasant Dhar. 14. Nudge: Improving Decisions About Health, Wealth, and Happiness -- Richard Thaler and Cass Sunstein.
In this episode, we speak with Solon Barocas, an Assistant Professor in Information Science at Cornell University. He is currently on leave at Microsoft Research in New York. But he will be returning to Cornell to teach. We ask him about a class on ethics in data science he has designed for aspiring computer scientists. Similar classes are burgeoning all around the country. How do you best infuse a culture of ethics in the field? What more do young professionals need to assess the social impact of their work? It’s important to make sure that students know to reject certain applications of machine learning, Barocas says. But it's not enough to then expect them to go and change the world, he warns.
This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Today we’re joined by Solon Barocas, Assistant Professor of Information Science at Cornell University. Solon is also the co-founder of the Fairness, Accountability, and Transparency in Machine Learning workshop that is hosted annually at conferences like ICML. Solon and I caught up to discuss his work on model interpretability and the legal and policy implications of the use of machine learning models. In our conversation, we discuss the gap between law, policy, and ML, and how to build the bridge between them, including formalizing ethical frameworks for machine learning. We also look at his paper ”The Intuitive Appeal of Explainable Machines,” which proposes that explainability is really two problems, inscrutability and non-intuitiveness, and that disentangling the two allows us to better reason about the kind of explainability that’s really needed in any given situation. The complete show notes for this episode can be found at https://twimlai.com/talk/219. And be sure to sign up for our weekly newsletter at https://twimlai.com/newsletter!
In this episode, Andrew Selbst, a Postdoctoral Scholar at Data & Society Research Institute and Visiting Fellow at the Yale Information Society Project, discusses his article "The Intuitive Appeal of Explainable Machines" (co-authored with Solon Barocas, Assistant Professor in the Department of Information Science at Cornell University), which will appear in the Fordham Law Review. Selbst begins by framing the promise and peril of algorithmic decisionmaking. Among other things, he explains how algorithmic decisionmaking works and describes the current debate over how to regulate it. In particular, he notes that many regulatory proposals focus on requiring the explanations of how an algorithm works. But he and Barocas argue that regulators should also require justifications for the construction of those algorithms, and propose some ways in which those justifications could be provided.Keywords: algorithmic accountability, explanations, law and technology, machine learning, big data, privacy, discrimination See acast.com/privacy for privacy and opt-out information.
In this episode, you can hear Matt’s recent NYC panel discussion moderated by Solon Barocas, Ph. D. (Cornell University Assistant Professor & Co-Founder of Fairness, Accountability + Transparency in Machine Learning) and featuring panelists Adam Klein (Deputy Managing Partner – Outten & Golden); Eric Dunleavy, Ph.D. (Director of Personnel Selection & Litigation Support Services – DCI Consulting) and Kelly Trindel, Ph.D. (Head of Science + Diversity Analytics). http://www.akerman.com/podcasts/disclaimer/workedup.html
This week, the results are in. Tens of thousands of people joined the Privacy Paradox challenge. And it changed you. Before the project, we asked if you knew how to get more privacy into your life—43 percent said you did. After the project, that number went up to 80 percent. Almost 90 percent of you also said this project showed you privacy invasions you didn’t know existed. When we asked you what this project made you want to do, only 7 percent of you said “give up.” Sorry guys! Don’t. Fully 70 percent of you said you want to push for protection of our digital rights. We have ideas for that in our tip sheet. A third of you said you’ll delete a social media profile. Another third said this project made you want to meditate. And just one more stat. We tallied your answers to our privacy personality quiz and gave you a personality profile. One-fifth of us were true believers in privacy before the project. Now half us are. Manoush says that includes her. In this episode, we talk through the results, and look to the future of privacy. With Michal Kosinski, creator of Apply Magic Sauce, and Solon Barocas, who studies the ethics of machine learning at Microsoft Research. Plus, reports from our listeners on the good, the bad and the ugly of their digital data. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
This week, the results are in. Tens of thousands of people joined the Privacy Paradox challenge. And it changed you. Before the project, we asked if you knew how to get more privacy into your life—43 percent said you did. After the project, that number went up to 80 percent. Almost 90 percent of you also said this project showed you privacy invasions you didn’t know existed. When we asked you what this project made you want to do, only 7 percent of you said “give up.” Sorry guys! Don’t. Fully 70 percent of you said you want to push for protection of our digital rights. We have ideas for that in our tip sheet. A third of you said you’ll delete a social media profile. Another third said this project made you want to meditate. And just one more stat. We tallied your answers to our privacy personality quiz and gave you a personality profile. One-fifth of us were true believers in privacy before the project. Now half us are. Manoush says that includes her. In this episode, we talk through the results, and look to the future of privacy. With Michal Kosinski, creator of Apply Magic Sauce, and Solon Barocas, who studies the ethics of machine learning at Microsoft Research. Plus, reports from our listeners on the good, the bad and the ugly of their digital data. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
This week, the results are in. Tens of thousands of people joined the Privacy Paradox challenge. And it changed you. Before the project, we asked if you knew how to get more privacy into your life—43 percent said you did. After the project, that number went up to 80 percent. Almost 90 percent of you also said this project showed you privacy invasions you didn’t know existed. When we asked you what this project made you want to do, only 7 percent of you said “give up.” Sorry guys! Don’t. Fully 70 percent of you said you want to push for protection of our digital rights. We have ideas for that in our tip sheet. A third of you said you’ll delete a social media profile. Another third said this project made you want to meditate. And just one more stat. We tallied your answers to our privacy personality quiz and gave you a personality profile. One-fifth of us were true believers in privacy before the project. Now half us are. Manoush says that includes her. In this episode, we talk through the results, and look to the future of privacy. With Michal Kosinski, creator of Apply Magic Sauce, and Solon Barocas, who studies the ethics of machine learning at Microsoft Research. Plus, reports from our listeners on the good, the bad and the ugly of their digital data. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
This week, the results are in. Tens of thousands of people joined the Privacy Paradox challenge. And it changed you. Before the project, we asked if you knew how to get more privacy into your life—43 percent said you did. After the project, that number went up to 80 percent. Almost 90 percent of you also said this project showed you privacy invasions you didn’t know existed. When we asked you what this project made you want to do, only 7 percent of you said “give up.” Sorry guys! Don’t. Fully 70 percent of you said you want to push for protection of our digital rights. We have ideas for that in our tip sheet. A third of you said you’ll delete a social media profile. Another third said this project made you want to meditate. And just one more stat. We tallied your answers to our privacy personality quiz and gave you a personality profile. One-fifth of us were true believers in privacy before the project. Now half us are. Manoush says that includes her. In this episode, we talk through the results, and look to the future of privacy. With Michal Kosinski, creator of Apply Magic Sauce, and Solon Barocas, who studies the ethics of machine learning at Microsoft Research. Plus, reports from our listeners on the good, the bad and the ugly of their digital data. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
This week, the results are in. Tens of thousands of people joined the Privacy Paradox challenge. And it changed you. Before the project, we asked if you knew how to get more privacy into your life—43 percent said you did. After the project, that number went up to 80 percent. Almost 90 percent of you also said this project showed you privacy invasions you didn’t know existed. When we asked you what this project made you want to do, only 7 percent of you said “give up.” Sorry guys! Don’t. Fully 70 percent of you said you want to push for protection of our digital rights. We have ideas for that in our tip sheet. A third of you said you’ll delete a social media profile. Another third said this project made you want to meditate. And just one more stat. We tallied your answers to our privacy personality quiz and gave you a personality profile. One-fifth of us were true believers in privacy before the project. Now half us are. Manoush says that includes her. In this episode, we talk through the results, and look to the future of privacy. With Michal Kosinski, creator of Apply Magic Sauce, and Solon Barocas, who studies the ethics of machine learning at Microsoft Research. Plus, reports from our listeners on the good, the bad and the ugly of their digital data. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
It's cold. Bed is so tempting. As is your sofa. But the siren song of your phone is calling you. According to Instagram and Facebook, every single person you know is looking gorgeous at the world's best party, eating photogenic snacks. Fear Of Missing Out. It's so real. And social media amplifies it 1000x. But maybe there's another path. Another acronym to embrace. The Joy Of Missing Out. JOMO. Caterina Fake popularized the term FOMO, with a blog post waaaay back in 2011. And her friend Anil Dash coined the term JOMO (after missing a Prince concert to attend his child’s birth). On this week's (repeat) episode of Note to Self, the two talk about the role of acronyms, the importance of thoughtful software design, and the recent history of the Internet as we know it. And if you want even more Anil Dash, he'll be talking to Manoush on January 31st at the Greene Space in New York City. We're teaming up with our friends at ProPublica for an event called Breaking the Black Box: How Algorithms Make Decisions About You. Anil, plus ProPublica’s Julia Angwin, and Microsoft Research's Solon Barocas. Come! For more Note to Self, subscribe on iTunes, Stitcher, Google Play, TuneIn, I Heart Radio, Overcast, Pocket Casts, or anywhere else using our RSS feed. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
It's cold. Bed is so tempting. As is your sofa. But the siren song of your phone is calling you. According to Instagram and Facebook, every single person you know is looking gorgeous at the world's best party, eating photogenic snacks. Fear Of Missing Out. It's so real. And social media amplifies it 1000x. But maybe there's another path. Another acronym to embrace. The Joy Of Missing Out. JOMO. Caterina Fake popularized the term FOMO, with a blog post waaaay back in 2011. And her friend Anil Dash coined the term JOMO (after missing a Prince concert to attend his child’s birth). On this week's (repeat) episode of Note to Self, the two talk about the role of acronyms, the importance of thoughtful software design, and the recent history of the Internet as we know it. And if you want even more Anil Dash, he'll be talking to Manoush on January 31st at the Greene Space in New York City. We're teaming up with our friends at ProPublica for an event called Breaking the Black Box: How Algorithms Make Decisions About You. Anil, plus ProPublica’s Julia Angwin, and Microsoft Research's Solon Barocas. Come! For more Note to Self, subscribe on iTunes, Stitcher, Google Play, TuneIn, I Heart Radio, Overcast, Pocket Casts, or anywhere else using our RSS feed. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
It's cold. Bed is so tempting. As is your sofa. But the siren song of your phone is calling you. According to Instagram and Facebook, every single person you know is looking gorgeous at the world's best party, eating photogenic snacks. Fear Of Missing Out. It's so real. And social media amplifies it 1000x. But maybe there's another path. Another acronym to embrace. The Joy Of Missing Out. JOMO. Caterina Fake popularized the term FOMO, with a blog post waaaay back in 2011. And her friend Anil Dash coined the term JOMO (after missing a Prince concert to attend his child’s birth). On this week's (repeat) episode of Note to Self, the two talk about the role of acronyms, the importance of thoughtful software design, and the recent history of the Internet as we know it. And if you want even more Anil Dash, he'll be talking to Manoush on January 31st at the Greene Space in New York City. We're teaming up with our friends at ProPublica for an event called Breaking the Black Box: How Algorithms Make Decisions About You. Anil, plus ProPublica’s Julia Angwin, and Microsoft Research's Solon Barocas. Come! For more Note to Self, subscribe on iTunes, Stitcher, Google Play, TuneIn, I Heart Radio, Overcast, Pocket Casts, or anywhere else using our RSS feed. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
It's cold. Bed is so tempting. As is your sofa. But the siren song of your phone is calling you. According to Instagram and Facebook, every single person you know is looking gorgeous at the world's best party, eating photogenic snacks. Fear Of Missing Out. It's so real. And social media amplifies it 1000x. But maybe there's another path. Another acronym to embrace. The Joy Of Missing Out. JOMO. Caterina Fake popularized the term FOMO, with a blog post waaaay back in 2011. And her friend Anil Dash coined the term JOMO (after missing a Prince concert to attend his child’s birth). On this week's (repeat) episode of Note to Self, the two talk about the role of acronyms, the importance of thoughtful software design, and the recent history of the Internet as we know it. And if you want even more Anil Dash, he'll be talking to Manoush on January 31st at the Greene Space in New York City. We're teaming up with our friends at ProPublica for an event called Breaking the Black Box: How Algorithms Make Decisions About You. Anil, plus ProPublica’s Julia Angwin, and Microsoft Research's Solon Barocas. Come! For more Note to Self, subscribe on iTunes, Stitcher, Google Play, TuneIn, I Heart Radio, Overcast, Pocket Casts, or anywhere else using our RSS feed. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
It's cold. Bed is so tempting. As is your sofa. But the siren song of your phone is calling you. According to Instagram and Facebook, every single person you know is looking gorgeous at the world's best party, eating photogenic snacks. Fear Of Missing Out. It's so real. And social media amplifies it 1000x. But maybe there's another path. Another acronym to embrace. The Joy Of Missing Out. JOMO. Caterina Fake popularized the term FOMO, with a blog post waaaay back in 2011. And her friend Anil Dash coined the term JOMO (after missing a Prince concert to attend his child’s birth). On this week's (repeat) episode of Note to Self, the two talk about the role of acronyms, the importance of thoughtful software design, and the recent history of the Internet as we know it. And if you want even more Anil Dash, he'll be talking to Manoush on January 31st at the Greene Space in New York City. We're teaming up with our friends at ProPublica for an event called Breaking the Black Box: How Algorithms Make Decisions About You. Anil, plus ProPublica’s Julia Angwin, and Microsoft Research's Solon Barocas. Come! For more Note to Self, subscribe on iTunes, Stitcher, Google Play, TuneIn, I Heart Radio, Overcast, Pocket Casts, or anywhere else using our RSS feed. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.
Happy new year! I'm pleased to post the first show of the winter quarter, Show # 227, January 14, 2015, my interview with Solon Barocas, Postdoctoral Research Associate at Princeton's Center for Information Technology Policy, co-author of the article Big Data's Disparate Impact (with Andrew D. Selbst). Algorithmic computing and decision-making have entered our world much faster than our understanding of it. In Solon's article, he takes a close look at the massively under-explored impact of algorithms on traditional forms of employment discrimination under Title VII of the Civil Rights Act (think discrimination on the basis of race or gender). Identifying both the technical and legal issues involved is a challenge, but this article does a wonderful job exposing the risks of algorithms in this space, which often (although not exclusively) includes embedding human prejudices in the code itself. We examined these and other ramifications of algorithmic computing and civil rights discrimination in our discussion. I greatly enjoyed it (recorded at Princeton!) and hope that you find it illuminating. {Hearsay Culture is a talk show on KZSU-FM, Stanford, 90.1 FM, hosted by Center for Internet & Society Resident Fellow David S. Levine. The show includes guests and focuses on the intersection of technology and society. How is our world impacted by the great technological changes taking place? Each week, a different sphere is explored. For more information, please go to http://hearsayculture.com.}