B01 perspective notes: how Andrew Maynard thinks (18 posts, 2014-11-23 to 2018-08-22)#

Scope and evidence rules. I read all 18 posts in full. There are no Modem Futura posts in this batch. Almost all of them are Conversation op-eds or 2020 Science blog posts that were later moved to the Substack.

What counts as evidence: - Excluded. 2014-11-23 a-scientists-manifesto is Robert Winston’s text. Only Andrew’s two framing sentences count, and they show endorsement, not his own thinking. - Images. The Midjourney images on the 2014 posts were added when the posts were resurfaced later. They are not evidence. - 2018-05-12 AI risks post. It wraps his own Risk Bites video, so the framing and the list of risks are his. The video itself was not viewed. - 2018-08-22 post. It announces a commentary co-written with Justin Kidd. The post’s text is his.

Dates. Several Substack dates come earlier than the real publication dates (see notes/B01.md): - the WEF list: June 2016 or later - Tesla: July 2016 or later - brain tech and driving: about September 2016 - Mars: about October 2017 - nano BS: about May 2018

I cite the Substack dates, as the batch list does.

Short-name key. Full slugs are in section 7 and in batches/B01.txt.

The main finding for this batch. In his September 2026 self-account, Andrew says an earlier analysis missed that his way of thinking about risk is a change of mindset. This is not a later reframing. The key moves are already written down, in his own words, in January 2016: - novel technologies do not fit existing frameworks - so “even how we think about risk” has to change - risk innovation is “designed to open up new ideas and possibilities” - risk is a “threat to value” - technologies “navigate” a “risk landscape” that they themselves help to form - creativity is itself a safety property

What this batch does not yet show is play and serendipity as stated principles (see section 3, “Absences”).

1. How he thinks here#

He opens with a concrete scene or a provocative question, then zooms out to the structure underneath. He almost never starts with an abstraction. Examples: - responsible-development opens minute by minute on the 2012 Indian blackout (“At 1 pm local time, a power line… tripped out… By 1:03”). - citizen-science opens with the “Nappy Science Gang”. - nano-risks opens with Anish Kapoor’s exclusive rights to a nanotube pigment. - wef-2016 opens with a recipe: “Take an advanced technology. Add a twist of fantasy. Stir well, and watch the action unfold.” - brain opens with an invitation: “Imagine infusing thousands of wireless devices into your brain”. - driving opens with statistics, then a what-if question.

His titles are often questions (“Are quantum dot TVs… actually better for the environment?”, “Can citizen science empower…?”, “Will driving your own car become…?”) or “what is left out” framings (schwab, mars, tesla). The question comes first, not the verdict.

His signature move is to find the blind spot in the prevailing frame. He grants the frame its strength, then shows what it cannot see: - schwab: the book is “worth reading”, but it “reads as if it were written in a vacuum”. - tesla: the plan “makes perfect sense” technologically, “Yet to succeed, it would require a seismic shift in modern culture”. - mars: the engineering may well work. The hurdles are “nontechnical”. - quantum-dots: he runs the alarming facts (cadmium, nanoparticle toxicity) and then turns: “Yet taken in isolation they are misleading.” - nano-risks reverses the usual pattern: the absence of public alarm is the blind spot, not its presence.

The move is not debunking. It is “yes, and here is the rest of the picture.”

He reframes by structural analogy, and he marks where each analogy breaks. - risk-innovation: he carries the logic of innovation across to risk. “Imagine what might happen if we approach risk the way entrepreneurs approach innovation”. Innovation creates value, so risk becomes a “threat to value”. Innovation has a market, so risk has a “market” of constituents “willing to invest in protecting” what they value. - responsible-development: understanding one transmission line would not have prevented the grid collapse. In the same way, assessing “each emerging technology in turn” will not prevent systemic failure. - driving: the shift in norms around smoking is a model for how human driving could come to be seen. - zika: synthetic biology works like coding, up to a hard limit: “unlike computers, we don’t have the luxury of rebooting when things go wrong.” - nano-risks: long nanotubes can behave like asbestos, but Vantablack S-VIS is “not comparable to asbestos”. The analogy is used and then bounded.

He tests plausibility and calibrates it out loud. - mars: “It’s conceivable (but extremely unlikely)” that Martian microbes invade Earth. “The bigger risk” is destroying evidence of Martian life. - brain: his speculative scenario is built from real, cited parts (Berkeley’s neural dust plus optogenetics). He flags the invented piece: “(hypothetical) cyber substance abuse”. - driving: he runs his own back-of-envelope sums. Crash deaths fall from one in 113 deaths to one in 1,000, perhaps one in 10,000. Then he labels them: “These projections — speculative as they are”. - wef-2016: Hollywood is the explicit foil for implausibility: “Putting Hollywood fantasies aside, though, it’s hard to predict the plausible downsides”.

He holds tensions instead of resolving them early. - schwab puts Bill Joy’s pessimism beside Schwab’s optimism and ends admitting “Joy’s earlier vision… still haunts me”. - driving sets “the public health expert in me is excited” against “a shudder of fear in some”. It then asks whether responsibility means only fewer deaths, or also “protecting other things that are important to people, like freedom and culture?” - nano-bs: “for all my cynicism, brand-nano did bring about something special”.

His typical ending is conditional, not a verdict: - zika: “But only if we learn fast how to use this powerful technology responsibly.” - tesla: “implemented responsibly — Musk’s vision could be a game changer” - mars: engaging with the hurdles “could lead to the first people living and thriving on another planet in my lifetime.”

He thinks by asking the right questions, and he shows the questions to readers. - nano-risks lists what he, “as an expert in nanomaterial safety”, would want to know: inhalability, particle form, “Trojan horses”, what happens in the environment. - brain asks: “should students be allowed to take exams while using tDCS?… Should TMS be used to prevent a soldier’s moral judgment from interfering with military operations?” - tesla makes the key question who might be killed, not how many. - nano-risks states the problem directly: new technologies slip past scrutiny “simply because few people know what questions they should be asking about risks and benefits.”

He thinks in systems and across technologies. - responsible-development: he drew the diagram of interdependencies between the 2015 WEF technologies himself (credited “World Economic Forum/Andrew Maynard”). He traces a loop from AI to neuromorphic chips, drones, the digital genome and gene editing, and “back to AI”. The “greatest challenge” is “moving away from considering emerging technologies in isolation”. - ai-risks: AI is presented as “a whole landscape of AI applications” set among other technologies, not as a technology apart.

Curiosity, delight and play, as practice rather than as stated principle. The prose repeatedly shows real enjoyment of clever science and audacious ideas: - quantum-dots: the net decrease in cadmium release is “a neat trick” - zika: “But here’s the clever bit”, and the gene drive is “a wickedly smart biological hack” - tesla: Musk’s plan is “a doozy” - mars: point-to-point rocket travel is “a crazy idea — that just might work” - driving: DOT policy is “a fascinating experiment in policy-driven public health intervention”

Humour lowers the temperature around frightening topics: - the imagined blockbusters “Graphene Apocalypse” and “Day of the Perovskite Cell” (wef-2016) - “for someone out there, I’m sure smart shoes will be a life-enhancing experience” (risk-innovation) - colonists’ “grubby microbiomes” (mars) - “trust me, that’s not BS” (nano-bs) - the Risk Bites video’s “quirky examples” and “tongue in cheek” Alexa references (ai-risks)

Creativity is named, and tied to safety. In risk-innovation, “this lack of creativity and flexibility in how potential risks are understood and addressed only increases the chances of things going wrong.” In responsible-development, a resilient future needs “unprecedented levels of interdisciplinary investment, collaboration and creativity.” Creativity is not decoration. He treats it as a condition of navigating risk well.

Stories and films. In this period, science fiction works as a source of foresight and a cultural shorthand: - Gattaca (responsible-development) - Iain M. Banks’s “neural lace” (brain) - Kim Stanley Robinson’s Mars Trilogy, “an interesting glimpse into what could transpire” (mars) - 2001 (ai-risks) - “boldly go” (mars)

Hollywood disaster tropes, by contrast, are the distortion to be corrected: “less ‘zombie apocalypse’ and more ‘teens troll supercomputer; teach it bad habits.’” (wef-2016). Films are not yet his main method (that comes with Films from the Future). The distinction he later works with, between plausible and fantastical imaginings, is already in view here.

2. What matters to him#

Technology’s benefits, with nobody left out. He is openly pro-innovation, and this is a moral commitment, not boosterism. In responsible-development: - “we can’t afford to slam the breaks [sic] on emerging technologies” - “Technology innovation alone will not solve these and other challenges. But without it, many will not be solved at all.”

The reasons he gives are concrete: sanitation, child deaths, poverty, dengue and malaria. In zika, the stakes are “hundreds of millions of people”. Alongside this runs a steady concern with equity: - robotics, AI and the Internet of Things could “widen the gap between the privileged and the disadvantaged” (risk-innovation) - a “socioeconomic divide” between the neuro-enhanced and everyone else (brain) - “rich people… abandoning the rest of us here” (mars) - “for every Flint, there are thousands of other communities that you and I have never heard of” (universities)

What people value, including the intangible and the everyday. The things he protects go well beyond health and money: “well-being, environmental sustainability, deeply held beliefs, even a sense of cultural or personal identity” (risk-innovation). In wef-2016 he includes “the enjoyment of driving” among what self-driving cars might threaten, next to “human responsibility”. He takes seriously small, human, non-technical goods that risk analysis normally leaves out.

Autonomy, consent and a say. - brain: neurotechnologies that “alter how someone thinks, feels, behaves… not necessarily in ways that are within their control or with their consent”. People “must have a say in how they’re used.” - wef-2016: AI that might “independently decide what’s best for you”. - schwab: technology should “serve society rather than dominate it”.

Honesty in science. He is intolerant of exaggeration and “publicity at the expense of accuracy” (press-releases). He admits that nanotech was branded in a way that “fudged the science to sell the idea” (nano-bs). And he raises a concern about safety that “depends more on a perception of safety rather than actual dealing with risk” (nano-risks).

What frustrates him: - institutional self-interest that blocks public good (“somehow, the institution gets in the way”, universities) - expert elitism (“‘nonscientists’ should revere, but not interfere with, science”, citizen-science) - antiquated risk thinking, and “shoehorning” new technologies into old rules (risk-innovation) - the loss of boundary organisations such as PEN and CBEN (nano-risks) - hype, in both directions: CES glitz and Hollywood dread

What delights him: - clever science and counterintuitive results - audacious visions (Musk, Sputnik) - citizens winning. The Nappy Science Gang got NHS advice changed, and the Flint residents’ testing forced action. - smart policy (DOT: “a refreshing change”)

3. Risk as a way of thinking#

Novel technologies call for a new mindset. Stated in 2015–16, not added later. - risk-innovation: when new technologies arise, “the overwhelming impulse is to maintain the status quo by shoehorning them into existing frameworks. They’re usually not remotely the right shape”. He calls for more than new rules: “The ways we’re taught to handle risk — even how we think about risk — are often as antiquated as the technologies being showcased at places like CES are innovative.” What is needed is “parallel innovation in how we think and act on risk”. - responsible-development says the same at the level of systems: one-technology-at-a-time risk science will not avert collapse. “This pushes us into uncharted waters… we need new ideas, new research and new tools”.

Risk innovation as a mental model that opens possibilities. His own description of the concept at its public launch: “a new approach to risk that is designed to open up new ideas and possibilities” (risk-innovation). The threat-to-value reframing “opens up new ways of imagining the risk landscapes that new technologies both face and help to form.” It turns risk from “a barrier to progress” into “a way of supporting beneficial and sustainable progress.”

In wef-2016 he uses it as a lens, not a procedure: - “One way to tease out the subtler possible impacts” - “a much richer way of thinking” - candid about the cost: “not necessarily a comfortable reconceptualization”

It also has a practical edge. The idea of a risk “market” asks who holds value and who is “willing to invest in protecting” it. And in mars the lens becomes a concrete checklist for a company.

Threat to value builds on conventional risk science. It does not replace it. In wef-2016 he says this explicitly: - health, wealth and environment remain “clearly important” things of value - threats to them “align with more conventional approaches to risk” - “we can also extend the idea… to less conventional types of risk: threats to self-worth, for instance, or culture, sense of security, equity, even deeply held beliefs.”

He also separates value from “values”: “tangible value (not to be confused with ‘values’)” (risk-innovation).

A risk landscape that technologies co-create. “Landscape” appears as: - risk landscapes that technologies “both face and help to form” (risk-innovation) - “an unbelievably complex risk landscape” to “traverse” (mars) - “a whole landscape of AI applications” (ai-risks)

The landscape is not fixed terrain. The technology changes it as it moves.

Navigating, not managing. The explicit contrast is not drawn in this batch. But “navigate” is consistently his verb for the relationship between technology, society and risk: - “technologies must be designed to navigate a complex landscape of potential risks”; “insights and tools to navigate an increasingly hazardous future” (risk-innovation) - “understand and navigate the risks and benefits”; “how to navigate the technological future” (schwab). There, “actionable empathy” links to his own 2015 Nature Nanotechnology piece “Navigating the fourth industrial revolution”. - “navigating an ever more complex social and political landscape” (tesla) - “smart in navigating the many social and political hurdles” (mars)

“Managed” appears in his own voice about risk only once, for a hazard to be “managed and ultimately eliminated” (driving).

The risk of not innovating is part of the landscape. In wef-2016, “Beyond existing value, future value is also important.” Not developing autonomous vehicles, optogenetics or graphene water filters “potentially threatens things that many people hold to be extremely valuable.” The “greatest risk” is that “either in our enthusiasm… or our Hollywood-inspired fears… we lose sight of the value of developing new technologies that make our world a better place, not just a different one.” In consumer-views, the barrier to a beneficial technology is not what consumers think, “but because of what others think they think”. This is a risk to value created by unexamined assumptions.

The quantitative foundation, in plain view. - quantum-dots is a working life-cycle exposure assessment. Exposure in use is “pretty much nil”. Manufacturing risk is manageable with good practice. The real concern at disposal is badly regulated e-waste. Net cadmium release goes down once coal-plant emissions are counted. - nano-risks turns on hazard versus exposure: “It wasn’t nontoxic, but the risk of exposure was minuscule.” He mentions his collaboration on the 2008 carbon nanotube study. - driving runs the mortality arithmetic. - tesla shows where numbers stop being enough: “numeric logic is often trumped by what we intuitively think and feel is important”.

The numbers are the ground floor. The value-based thinking is built on top of them.

Humility against false precision. - “hard to predict the plausible downsides” (wef-2016) - prediction “is fraught with difficulties, and depends as much on who considers what a risk (and to whom)” (brain) - “we still have only the vaguest ideas of how the systems we’re hacking actually work” (zika) - complex systems “appear stable and predictable — until, suddenly, it isn’t” (responsible-development) - in quantum-dots, nanotoxicology “is an area where scientific understanding is still developing”

His caution is scaled to irreversibility and ignorance. Gene drives call for being “exceptionally cautious”, yet “This is not an argument against”. This sits between blanket precaution and permissionless innovation.

Novelty is judged, not assumed. His call for new thinking comes with scepticism about branded novelty. In nano-bs, “no science suggests there is something generically unique and special” about 1–100 nm, and the “bright line” was marketing. The novelty he takes seriously lies in: - convergence and interdependence - technologies that act on the self (brain) - machines that combine “the capacity to understand normal conversation with the ability to take action on what they hear” (wef-2016)

Absences. - “Orphan risks” does not appear. Its seeds are the “subtler” risks “we all too easily overlook” and that “aren’t easy to capture” (wef-2016), and risks that “slip under the radar” once public attention fades (nano-risks). - Play, serendipity and curiosity are not stated as principles here. They show up as tone and method (section 1).

4. Scholarship and public writing#

Concepts are launched in both venues at once. Risk innovation appears in Nature Nanotechnology (2015, “Why we need risk innovation”, linked from risk-innovation) and in The Conversation in the same months. “Actionable empathy” in schwab links to his Nature Nanotechnology piece. So public writing is not a later “translation” of the scholarship. It is where the concept is put to work.

He experiments in public by applying the lens to live cases. Over 2016–17 he tries risk innovation and responsible innovation on a series of real cases: - the 2016 WEF list (wef-2016) - Tesla’s master plan (tesla) - SpaceX (mars) - the DOT automated-vehicle policy (driving), scored against Stilgoe, Owen and Macnaghten’s four dimensions and called “an interesting and unfolding case study”

In the process the concept grows. In wef-2016, for example, the risks of not developing a technology are added.

The scholarship behind the writing. He draws on his own: - lab science (the 2008 carbon nanotube study) - advisory roles (the WEF emerging-technologies group “Since 2012”; the Wilson Center’s PEN) - institution-building: the University of Michigan Risk Science Center, which “sought to connect academic research on risk to ordinary people who could use it” (universities); the ASU Risk Innovation Lab and SFIS

Evidence handled with care. - In press-releases he keeps the BMJ authors’ caveat that the study “does not demonstrate a causal relation”. - He separates hazard from exposure and labels speculation as speculation. - He credits others’ frameworks generously: Stilgoe et al., UCL’s ExCiteS, Goldacre, Endy.

Transdisciplinary by identity. He places himself in “a global community of natural and social scientists, legal, ethical and policy scholars, policymakers, and civil society advocates” (schwab). What redeems brand-nano for him is that “it broke down the barriers between previously stove-piped disciplines” (nano-bs).

Accessibility as a principle. He writes in plain language and uses everyday anchors: TVs, nappies, smart shoes, “Siri or Amazon’s Echo hardwired into your brain”, recoding DNA “almost as easily as we can write smartphone apps”. He uses video (Risk Bites). In universities he argues for exactly what he is doing: university support for “platforms like The Conversation” and for communication training. The public writing is itself part of the scholarly vocation.

5. His role as he sees it#

A scientist with several identities who connects worlds. He speaks as: - “an expert in nanomaterial safety” (nano-risks) - someone who has “worked in nanoscale science for nearly 30 years” (nano-bs) - “the public health expert in me” (driving) - “a scholar of risk innovation” (mars) - a WEF adviser (wef-2016) - a member of the responsible-innovation community (schwab)

He sees the task as building “new partnerships… between experts and organizations that have insight into the complex dynamic between society and technology, and those that call the shots” (schwab).

Toward tech leaders: a sympathetic adviser, not an adversary or a fan. - mars is literally a letter: “To give Elon Musk a bit of a head start, here are some of the obstacles I think he should have on his mission-to-Mars checklist.” - In tesla he wants the plan to succeed (“that would be a shame” if it failed), and he discloses his interest: “Here, I’m admittedly a little biased”. - Schwab’s book is “worth reading, despite my imagined academic eye-rolling”.

Toward scientists and universities: a conscience from the inside. - The BMJ authors place the blame for exaggerated press releases on scientists. He endorses this (“This is the bit that really concerns me”), after first saying he has “great respect” for press officers (press-releases). - Public comment on emerging topics “is something we rarely train, or even encourage, our scientists to do” (nano-risks). - Universities should add “a fourth leg of community service” (universities).

He criticises charitably: the failure is “by default rather than by design”, and “This gives me hope.”

Toward publics: an ally, with experts serving communities. In citizen-science he tells how he suggested to senior science advisers that scientists listen to ordinary people and was told it would be “a really bad idea”. He argues for science in which citizens lead and experts serve, and not “co-opt them for their own ends”. Flint is his proof that residents can be right when experts and officials are wrong.

Toward readers. He invites them in (“Imagine…”, “you and I”) and trusts them with nuance (“Answer’s not black and white”). He equips them with questions instead of conclusions.

What he refuses to do: - polarise into hype or dread (“zombie apocalypse” vs “glitz”) - fear-monger over hazard without exposure (quantum-dots) - brake innovation - demonise the people he criticises - claim more certainty than he has - exempt his own field. The brand-nano critique implicates his own community, which “went along with it because of the promise of funding.”

Changes of mind, and positions left open. - nano-bs is a candid retrospective on how the field he helped build was framed. It ends on “for all my cynicism” and a renewed case for nanoscale science. - Joy’s warning “still haunts me” even as he argues for innovation. - Within the batch, the 2015 embrace of the responsible-innovation framework (“much more is needed”) gives way to his own risk-innovation reframing (2016). He keeps responsible innovation as a yardstick (driving).

6. What is distinctive#

1. Two competences in one voice. In the same months he can list the inhalation, surface-area and “Trojan horse” questions a nanotoxicologist would ask (nano-risks), and redefine risk as a threat to “sense of cultural or personal identity” and “deeply held beliefs” (risk-innovation). Most commentators on technology are either the risk scientist or the social theorist, not both.
2. Risk thinking must innovate as fast as the technology. Creativity is treated as a safety property (“lack of creativity and flexibility… increases the chances of things going wrong”). That idea sits outside both conventional risk assessment and the usual ethics-and-governance commentary.
3. The risk of not innovating counts. “Future value”, and the “greatest risk” of losing a “better place, not just a different one”, put foregone benefits inside the risk landscape. Neither precautionary nor accelerationist framings do this symmetrically.
4. Early, human-scale framing of AI (2015–2018). He places AI in a network of converging technologies, not as a technology apart. He flags conversational AI that acts on what it hears and might “decide what’s best for you” (wef-2016). His 2018 list includes “technological dependency” and “heuristic manipulation” (ai-risks). He keeps “existential risk from superintelligence” as one item among ten, neither dismissed nor privileged, and prefers Tay-style mundane failures to apocalypse as the model of real risk.
5. A social licence, described to the people who need one. He tells tech leaders that the hard hurdles are social (“whether society writ large grants SpaceX and Elon Musk the freedom”), in the voice of a well-wisher.
6. Insider self-critique. He says openly that his own field sold its founding category with fudged science (nano-bs), and he still defends what that brand achieved.
7. Experts as assistants. A physicist and former government science adviser arguing that communities should “own” the scientific method (citizen-science) is unusual.
8. Technologies co-create the risk landscape. It is not a fixed backdrop: “risk landscapes that new technologies both face and help to form.”

7. The posts that best reveal how he thinks#

1. 2016-01-11 thinking-innovatively-about-the-risks-of-tech-innovation-cbbf708d7181. The founding public statement of risk innovation. It contains the mindset-shift argument, risk as opening possibilities, threat to value, the landscape and navigation, creativity as safety, and a joke about smart shoes.
2. 2016-03-02 how-risky-are-the-world-economic-forums-top-10-emerging-technologies-for-2016-2494dbdccbf1. The lens in use. A playful Hollywood opening; threat to value explicitly extending conventional risk; the risks of not developing; early AI-ecosystem concerns; a refusal of both hype and dread.
3. 2015-01-30 responsible-development-of-new-technologies-critical-in-complex-connected-world-1799ef680ad. Systems thinking through structural analogy (the blackout). His own interdependency map. Humility (“until, suddenly, it isn’t”), and the call for new tools and creativity.
4. 2016-04-01 will-driving-your-own-car-become-the-socially-unacceptable-public-health-risk-smoking-is-today-8114ab8463aa. The whole method in miniature: a what-if question, an analogy (smoking), his own numbers flagged as speculative, a scholarly framework used as a yardstick, then the value tension (freedom and culture) that the numbers cannot settle.
5. 2017-04-10 dear-elon-musk-your-dazzling-mars-plan-overlooks-some-big-nontechnical-hurdles-f39eb0cfb04a. The risk landscape and threat to value applied as friendly advice. Calibrated plausibility, science fiction as foresight, humour, and personal hope.
6. 2018-02-21 the-bs-and-the-science-of-nanotechnology-a1df151008ef. First-principles scrutiny of a category, candid self-critique of his own field, a tension held (“for all my cynicism”), and a playful close.

Also important for his role: 2016-01-12 can-citizen-science-empower-disenfranchised-communities-99e6e92acad9 and 2016-01-31 public-universities-must-do-more-the-public-needs-our-help-and-expertise-9191de5eafe6.