How do we want to shape our future dig­i­tal space?

H
Dr Sebas­t­ian Hal­lensleben – Pho­to: Resaro Europe GmbH

In the lat­est of her Duet inter­views, Dr Cal­daro­la, edi­tor of Data Ware­house as well as co-author of Big Data and Law, and Dr Hal­lensleben dis­cuss pos­si­ble designs for our dig­i­tal space.

Dr Hal­lensleben, what oppor­tu­ni­ties does the dig­i­tal space offer us?

Dr Hal­lensleben: Before delv­ing into details, I believe there is a fun­da­men­tal oppor­tu­ni­ty that often gets overlooked.

The dig­i­tal space is some­thing we fun­da­men­tal­ly shape and cre­ate as human­i­ty and soci­ety. We pos­sess an immense degree of con­trol over its struc­ture and function.

I argue that this oppor­tu­ni­ty is neglect­ed because a nar­ra­tive of inevitabil­i­ty often sur­rounds AI and oth­er dig­i­tal top­ics. For instance, phras­es like ‘tech­ni­cal progress is mov­ing in a cer­tain direc­tion,’ ‘a break­through has occurred,’ ‘AI is pro­gress­ing rapid­ly,’ or ‘dig­i­tal plat­forms now enable fric­tion­less trade in mobil­i­ty or oth­er sec­tors’ are com­mon. The implic­it assump­tion is that these devel­op­ments sim­ply hap­pen, and every­one must react or con­form, as if they were nat­ur­al phe­nom­e­na like weath­er or earth­quakes that one can only adapt to or work around.

In real­i­ty, devel­op­ments in the dig­i­tal space are the result of human choic­es, some indi­vid­ual, some sys­temic made at nation­al or large cor­po­rate lev­els. Ulti­mate­ly, these are our choic­es, and they bring with them immense opportunities.

I wish we would make far greater use of these oppor­tu­ni­ties and design pos­si­bil­i­ties. My desire is for us to more fre­quent­ly ask our­selves what kind of dig­i­tal space we tru­ly want. We are per­mit­ted to dream when it comes to this ques­tion. Chances are, it is fea­si­ble if a suf­fi­cient num­ber of peo­ple desire it, and most of it is achiev­able with­in the dig­i­tal space. This implies that an opti­mistic sense of agency is lack­ing, as is the courage to embrace that agency in many areas. I wish we would assert our oppor­tu­ni­ties to design the dig­i­tal space by select­ing and shap­ing our desired outcomes.

I am remind­ed of Vic­tor Hugo’s thoughts con­cern­ing ideas:

‘Noth­ing is as pow­er­ful as an idea, whose time has come’

With regard to our con­ver­sa­tion, I would like to add:

‘The time has come, what is the idea?’

Every medal has two sides. What risks do we face in the dig­i­tal space?

One fun­da­men­tal risk is the scal­a­bil­i­ty of neg­a­tive out­comes. If a dig­i­tal busi­ness mod­el emerges that is not con­struc­tive in the long run or has adverse side effects – for exam­ple, a busi­ness mod­el offer­ing con­tent or a ser­vice in exchange for data, dri­ven by auc­tion­ing user atten­tion for adver­tis­ing – this lim­it­ed, data-dri­ven busi­ness mod­el can eas­i­ly become glob­al. If some­one, some­where, con­cludes that this is a prof­itable approach, it tends to spread glob­al­ly unless there are obsta­cles, deci­sions, or reg­u­la­tions to pre­vent it. If fea­si­ble, such mod­els prop­a­gate very quick­ly across the glob­al dig­i­tal space, and most mod­els that have emerged this way car­ry inher­ent risks.

The sec­ond risk I want to high­light is the diver­gence of agency and account­abil­i­ty. In the phys­i­cal world, if I per­form an action, I can typ­i­cal­ly be held account­able for it.  In the dig­i­tal space, this is less clear-cut. As an exam­ple, the own­ers of large social media plat­form have plen­ty of agency in shap­ing their offer­ings but evade account­abil­i­ty to a sig­nif­i­cant degree…This is a high­ly rel­e­vant risk.

A third risk in the dig­i­tal space is the ease with which pow­er and con­trol can con­cen­trate. The dig­i­tal space lends itself to the for­ma­tion of monop­o­lies sim­ply because the cost of scal­ing from 10% to 100% of a user base, or even from 1% to 10%, is typ­i­cal­ly very small. In the phys­i­cal world, scal­ing to a monop­oly is far more dif­fi­cult, espe­cial­ly to a glob­al monop­oly, which is almost impos­si­ble. The instru­ments orig­i­nal­ly devel­oped for the phys­i­cal space to pre­vent monop­o­lies and dis­man­tle car­tels become more cru­cial and hard­er to enforce in the dig­i­tal space, giv­en the transna­tion­al or multi­na­tion­al nature of its enti­ties and ser­vices. I believe one of the main risks is our assump­tion that the dig­i­tal space will some­how achieve a hap­py mar­ket equi­lib­ri­um on its own. In real­i­ty, it is far more frag­ile than the phys­i­cal econ­o­my and requires much stronger atten­tion to main­tain that sweet spot where healthy com­pe­ti­tion thrives while pre­vent­ing the emer­gence of monop­o­lies. These are some of the inher­ent risks.

I also want to high­light anoth­er risk that is par­tic­u­lar­ly impor­tant to me, which relates to the recent capa­bil­i­ties of arti­fi­cial intel­li­gence. By ‘recent,’ I refer not just to phe­nom­e­na as new as Chat­G­PT, but to devel­op­ments dat­ing back to 2018 when deep­fakes first emerged. This marked a moment when it became pos­si­ble not only to fake every type of con­tent but also to fake peo­ple. Now, a suite of AI tech­nolo­gies is avail­able that allows us to man­u­fac­ture con­vinc­ing­ly decep­tive ‘human beings’ in the dig­i­tal space. The fun­da­men­tal assump­tion that the peo­ple I inter­act with are real is no longer valid.

This is some­thing that can­not hap­pen in the phys­i­cal world; if I meet some­one face-to-face, I know they are a real per­son and a sin­gu­lar enti­ty who can­not simul­ta­ne­ous­ly be anoth­er per­son or pre­tend to be a hun­dred dif­fer­ent peo­ple. It has become the new nor­mal that when I encounter some­one in the dig­i­tal space, I don’t know if they are real. I don’t know if I’m wast­ing my time engag­ing with this ‘per­son’ because I might just be try­ing to con­vince a bot or build a rela­tion­ship with one.

This under­mines a fun­da­men­tal ele­ment of soci­ety: the abil­i­ty to trust inter­ac­tions with anoth­er per­son. I would even go so far as to say that we risk los­ing the dig­i­tal space as a viable place for social­is­ing, con­duct­ing busi­ness, hav­ing dis­cus­sions, and engag­ing in demo­c­ra­t­ic dis­course. When we reach a point where a sig­nif­i­cant per­cent­age of par­tic­i­pants are bots, or must be assumed to be bots, I would dis­en­gage, and we would approach the ‘dead inter­net’ mod­el, a space where bots deceive oth­er bots.

In sum­ma­ry, both the oppor­tu­ni­ties and risks are sub­stan­tial and chal­leng­ing. How can the dig­i­tal space be designed to har­monise these oppor­tu­ni­ties and risks? You advo­cate for ‘dig­i­tal trust’ and ‘dig­i­tal integri­ty.’ What exact­ly do you mean by these terms?

Build­ing on my pre­vi­ous respons­es, we must acknowl­edge that we are not mere­ly fac­ing issues with bots, deep­fakes, or gen­er­a­tive AI. Instead, we con­front a fun­da­men­tal cri­sis of trust with­in the dig­i­tal space. We must address this prob­lem at its foun­da­tion­al lev­el, recog­nis­ing that trust is an essen­tial ele­ment for any func­tion­ing soci­ety. If we lose the abil­i­ty to trust in the dig­i­tal space, it becomes fun­da­men­tal­ly unin­hab­it­able, under­min­ing the great promise it oth­er­wise holds.

Let us define trust in this con­text. I like to illus­trate it with a ques­tion I often ask peo­ple: ‘When were you born?’ Although they typ­i­cal­ly look quite aston­ished and polite­ly respond, ‘Of course, I know when I was born,’ I then ask, ‘How do you know?’ It is a fact that I, as a new­born, was present dur­ing my birth. How­ev­er, at that point in time, I have no rec­ol­lec­tion of the time, place, or cir­cum­stances of my birth. Instead, I trust my par­ents who told me that day was my birth­day. Or I might trust my par­ents’ neigh­bours who told me that on a cer­tain day, my par­ents returned from the hos­pi­tal with me in their arms. Or I trust a per­son in City Hall who hands me a birth cer­tifi­cate with my name and birth­day on it.

The point is, even for sim­ple per­son­al fac­tu­al infor­ma­tion, you must trust oth­er peo­ple. That is why trust is fun­da­men­tal. It is not sole­ly relat­ed to the com­plex­i­ty that aris­es when peo­ple can­not under­stand the ‘black box’ of AI, the data flow of a busi­ness mod­el, or the under­ly­ing tech­nol­o­gy of a dig­i­tal event when access­ing the dig­i­tal space. It is sim­ply con­nect­ed to the fact that there are sur­pris­ing­ly few things we can per­son­al­ly and reli­ably ver­i­fy ourselves.

Soci­ety can­not func­tion with­out trust. This leads us to the ques­tion: How do we jus­ti­fy trust? Or, how do we jus­ti­fy being vul­ner­a­ble? How can we accept not being able to ver­i­fy every­thing, even when com­pli­cat­ed and how do we jus­ti­fy trust­ing cer­tain peo­ple even when we make our­selves vulnerable?

Return­ing to trust in the dig­i­tal space, sys­tems are tech­ni­cal­ly high­ly com­plex, requir­ing us to trust our providers, brows­er man­u­fac­tur­ers, device mak­ers, and so forth. We need enabling tech­nolo­gies to help us jus­ti­fy this trust.

I would like to high­light two aspects that relate to the dig­i­tal integri­ty and trust you men­tioned in your ques­tion. There are three dis­tinct types of trust: (a) trust that the coun­ter­part is indeed a per­son and not a bot, (b) trust that the per­son is hon­est with me, and © the trust or degree of trust in the oth­er person’s judgment.

We need tools to help us nav­i­gate this, giv­en the myr­i­ad peo­ple we encounter online. First, tools that track our trust assess­ments. Trust is high­ly indi­vid­ual; the extent to which I trust some­one dif­fers from how much anoth­er per­son trusts the same indi­vid­ual. Con­verse­ly, know­ing that you trust some­one, and my trust­ing your judg­ment, might lead me to also trust that per­son. How­ev­er, if I lat­er get to know the oth­er per­son myself and con­clude for myself that this per­son is ‘full of air,’ my trust in your judge­ment might decrease. We all main­tain an intu­itive record of how much we trust oth­ers, and this is both indi­vid­ual and dynamic.

In the phys­i­cal world, we man­age to main­tain all three types of these trust rela­tion­ships in our minds because human beings are evo­lu­tion­ar­i­ly wired to han­dle such trusts through ‘gut feelings.’

In the dig­i­tal world, how­ev­er, this is insuf­fi­cient. I believe that an enabling tech­nol­o­gy is need­ed to facil­i­tate the record-keep­ing and track­ing of our indi­vid­ual trust assess­ments, and to allow us to share them with­in our social circles.

Sec­ond­ly, and even more impor­tant­ly, we need an enabling tech­nol­o­gy for pseu­do­ny­mous iden­ti­ties. I can­not dis­cuss trust with­out dis­cussing iden­ti­ty, because trust always involves anoth­er per­son build­ing a track record in my eyes. I can­not make any trust assess­ment based on a sin­gle data point; I need mul­ti­ple data points, either from my own exchanges and expe­ri­ences with a per­son or from the expe­ri­ences of oth­ers. It is always a series of data points, and I can only cor­re­late them if the oth­er per­son main­tains a con­sis­tent iden­ti­ty, not vary­ing iden­ti­ties. I don’t need to know their real iden­ti­ty, but I do need to recog­nise a per­son from one inter­ac­tion to the next. We need pri­va­cy-pro­tect­ing, pseu­do­ny­mous iden­ti­ties that are sin­gu­lar per con­text. We do not need a sin­gle pseu­do­nym to fol­low a per­son across the entire inter­net; that would be unwise, as it cre­ates many vul­ner­a­bil­i­ties that could allow us to trace back to the real iden­ti­ty. That is not what we want. Instead, we need an iden­ti­ty per con­text, per plat­form, per forum, or what­ev­er else.

There­fore, when dis­cussing with some­one in an online forum, I want to be sure (a) that the per­son is real and not a bot, and (b) that this per­son has only one account on this forum (or per­haps two or three, but cer­tain­ly not hun­dreds or thou­sands of accounts).

Thus, that per­son needs to have an iden­ti­ty on the forum. No one needs to know their real iden­ti­ty, but a pseu­do­ny­mous iden­ti­ty is nec­es­sary. The inter­est­ing aspect is that while this might sound ambi­tious, the pro­to­cols and even the tech­nol­o­gy already exist. This func­tion­al­i­ty is even inte­grat­ed into ID cards in Ger­many and is part­ly described in the Euro­pean eIDAS Reg­u­la­tion, though it is not cur­rent­ly being utilised.

On one hand, one could argue, ‘Oh, that is frus­trat­ing.’ But on the oth­er hand, one could also argue, ‘Oh, great, we have a sig­nif­i­cant prob­lem to solve, and we already pos­sess the tech­nol­o­gy to do so. It’s mere­ly a ‘roll-out problem.’

Do we still trust peo­ple and infor­ma­tion in the dig­i­tal space? AI, fake news, and sim­i­lar phe­nom­e­na hijack atten­tion, dis­tort demo­c­ra­t­ic dis­course, and com­pli­cate trans­par­ent mar­kets. How would dig­i­tal trust and dig­i­tal integri­ty need to be imple­ment­ed con­crete­ly to effec­tive­ly and sus­tain­ably pro­tect the dig­i­tal space against attacks, dis­tor­tions, and oth­er threats?

This builds on my pre­vi­ous answer. The key term is avoid­ing dis­tor­tion. To phrase it pos­i­tive­ly: the key is to cre­ate fair­ness. We are accus­tomed to the notion or prin­ci­ple of democ­ra­cy, which is wide­ly accept­ed to ensure fair­ness of rep­re­sen­ta­tion: ‘One per­son, one vote.’

We now need a relat­ed prin­ci­ple, which I would call ‘One per­son, one voice,’ so that the atten­tion, or the chance of gain­ing atten­tion, is also fair­ly distributed.

You do not have an inher­ent right to be lis­tened to, as oth­ers might con­clude they are not inter­est­ed or that a per­son is ‘sparkling lots of bull­shit.’ How­ev­er, every­one needs to have a fair chance to be heard. If peo­ple deploy armies of bots, that fun­da­men­tal­ly destroys fair­ness. If I oper­ate thou­sands of bots and you mere­ly post as your­self, my opin­ions will receive a thou­sand times more atten­tion and a thou­sand times more oppor­tu­ni­ty to be heard, which is fun­da­men­tal­ly unfair. There­fore, we tru­ly need fair­ness of attention.

To me, that is a far bet­ter approach than attempt­ing to fil­ter con­tent to label cer­tain things as fake or untrue. Address­ing val­ues is a much hard­er task because it requires sig­nif­i­cant mod­er­a­tion effort and robust gov­er­nance struc­tures, both city-wide and board​-lev​el​.at con­sti­tutes true or not true.

A good start­ing point is to make sure that every­one that the same chance to be heard. That is by far the most impor­tant thing. I pre­fer this approach over fil­ter­ing because it leaves oppor­tu­ni­ty for evo­lu­tion.  Many of the opin­ions that are main­stream today – things like equal­i­ty between men and women, like con­ti­nen­tal drift in geol­o­gy – start­ed as fringe opin­ions against the received wis­dom at the time. And yet over time these fringe opin­ions became main­stream. I think it would be very opti­mistic to assume that all of today’s main­stream opin­ions are per­fect and the end of the evo­lu­tion and that is all how it should be. That is a strange assump­tion. We have to assume that some of the opin­ions that appear fringe today will be gain trac­tion over time and will become main­stream and accept­ed wis­dom in the future, even though this prob­a­bly only applies to a small pro­por­tion of these fringe opin­ions. We need to pre­serve the oppor­tu­ni­ty for soci­ety and human­i­ty to evolve in that way.

Infor­ma­tion­al self-deter­mi­na­tion, demo­c­ra­t­ic dis­course, and fair­ness are val­ues not uni­ver­sal­ly shared across the globe. How do we achieve har­mon­i­sa­tion and uni­form glob­al rules for sta­bil­i­ty and sustainability?

The short and flip­pant answer is cer­tain­ly: ‘We don’t.’ I believe it is very healthy for the world to have a com­pe­ti­tion regard­ing the best sys­tem to live in. what is most eco­nom­i­cal­ly and social­ly suit­able. Through this com­pe­ti­tion, we might find some sys­tems to be wrong or dis­taste­ful, and oth­ers appro­pri­ate or man­age­able. It is per­fect­ly accept­able to pro­mote the sys­tem we believe is best and to sup­port peo­ple world­wide who are work­ing towards it.

How­ev­er, we can­not assume that the entire world will migrate to the sys­tem we con­sid­er best, even in our glob­alised world. To me, the best approach is to max­imise the ben­e­fits of our sys­tem and make those ben­e­fits vis­i­ble, effec­tive­ly say­ing: ‘Look at how we live, our polit­i­cal sys­tem, our demo­c­ra­t­ic sys­tem, soci­ety, human­i­ty. See how effec­tive­ly we cre­ate pros­per­i­ty, ensure par­tic­i­pa­tion for every­one, accom­plish deci­sion-mak­ing process­es, and achieve hap­pi­ness.’ The most effec­tive way to suc­ceed in glob­al com­pe­ti­tion is to put our val­ues into prac­tice and demon­strate what life is like with­in these val­ues. This serves as a ‘walk­ing adver­tis­ing bill­board’ for our sys­tem, val­ues, and per­cep­tions. Then, oth­er soci­eties might fol­low, or they might fal­ter. Both out­comes are accept­able and must be acknowledged.

There is one excep­tion to the prin­ci­ple of ‘live and let live and make the sys­tem attrac­tive and work well’: sit­u­a­tions where we lack clear ter­ri­to­r­i­al bound­aries. This cov­ers sev­er­al aspects:

First­ly, it encom­pass­es the entire aspect of sus­tain­abil­i­ty and cli­mate change, because we can­not allow, for exam­ple, Amer­i­cans to ‘burn their coun­try with oil’ if it harms the entire plan­et. Sim­i­lar­ly, we can­not per­mit inhab­i­tants in Brazil to destroy their forests with­out con­cern, as it dam­ages essen­tial ele­ments of the plan­et on which we all live.

Sec­ond it cov­ers the aspect of glob­al plat­forms which are under the con­trol of glob­al com­pa­nies that have size and rev­enues that are big­ger than the mon­ey of many coun­tries. Here again we can­not say “Live and let live”. Here we need to pro­tect our nation­al ter­ri­to­ries by reg­u­lat­ing the mar­ket through laws like the Euro­pean Dig­i­tal Mar­ket Act or the Euro­pean Dig­i­tal Ser­vice Act. These are rea­son­ably potent tools if enforced prop­er­ly. It is cer­tain­ly messy to draw lines of juris­dic­tion in the dig­i­tal space. There is no way around it as long as the gen­er­al ideas of what the dig­i­tal space should look like start to diverge more and more. The chal­lenge is to avoid the Chi­nese or Russ­ian approach­es where they have big fire walls and shut off the inter­net for its cit­i­zens by cre­at­ing lit­tle islands. That does not cor­re­spond to our Euro­pean mind­set. The inter­ac­tion with the rest of the world is for the Euro­peans impor­tant because we want to con­tin­ue to inter­act, to be chal­lenged, to be trans­par­ent. The task is to have bor­ders and bound­aries in some respect but not in others.

AI assur­ance and qual­i­ty are also among your key inter­ests. Does this con­cept obscure the require­ments of the Euro­pean AI Reg­u­la­tion? What is the rela­tion­ship between AI assur­ance, dig­i­tal trust, and dig­i­tal integrity?

The approach to AI assur­ance, par­tic­u­lar­ly the assur­ance of AI qual­i­ty, is built upon the Euro­pean AI Act. The AI Act pri­mar­i­ly focus­es on mit­i­gat­ing risks and estab­lish­es only a min­i­mum thresh­old that must be met. In this sense, it is bina­ry: either you com­ply, or you do not. This con­sti­tutes the base­line. How­ev­er, it is not some­thing that will cre­ate a func­tion­ing, vibrant, and com­pet­i­tive mar­ket. For exam­ple, if I exam­ine the mar­ket for chat­bot or face recog­ni­tion sys­tems, I can assume that any prod­uct I find is com­pli­ant with the law; oth­er­wise, the ven­dor would be on ‘thin ice.’ Com­pli­ance does­n’t help me decide which prod­uct to buy. Sim­i­lar­ly, from the ven­dor or man­u­fac­tur­er’s per­spec­tive, com­pli­ance with the EU AI Act can­not be used as a sales argu­ment, nor does it help them address dif­fer­ent mar­ket segments.

So, the ques­tion is, what do we actu­al­ly need for a func­tion­ing and trans­par­ent mar­ket? I like to com­pare it with a very com­mon and estab­lished exam­ple: pur­chas­ing a car. When I select a car, I con­sid­er var­i­ous met­rics (fuel con­sump­tion, boot space, crash test rat­ings, stop­ping dis­tances, top speed, etc.). Depend­ing on my use case and what I need the car for, I pri­ori­tise dif­fer­ent aspects. It is cru­cial that I have met­rics to pri­ori­tise and make an informed deci­sion. This is how a trans­par­ent, com­pet­i­tive, and func­tion­ing mar­ket emerges, one that fos­ters innovation.

That is what we should also desire for the AI mar­ket. As long as the sole cri­te­ri­on is com­pli­ance, there will be no com­pe­ti­tion and, con­se­quent­ly, no mar­ket dri­ve for inno­va­tion. There­fore, we need to ele­vate the descrip­tion of rel­e­vant char­ac­ter­is­tics of AI sys­tems (qual­i­ty, per­for­mance, etc.) in a non-bina­ry man­ner. It is insuf­fi­cient to have met­rics like ‘secure/insecure’ or ‘multilingual/monolingual chat­bot.’ Mul­ti­ple lev­els of secu­ri­ty, lin­guis­tic capa­bil­i­ty, and oth­er fac­tors are nec­es­sary. Then, depend­ing on my use case, I can make deci­sions accord­ing to my spe­cif­ic needs.

These types of use-case-spe­cif­ic, mul­ti-lev­el met­rics are nec­es­sary to accu­rate­ly express a sys­tem’s char­ac­ter­is­tics. Only then will we have the oppor­tu­ni­ty or rather, the con­se­quence of a trans­par­ent, com­pet­i­tive, and inno­v­a­tive mar­ket that allows for trade-offs. I view qual­i­ty assur­ance for AI as build­ing upon com­pli­ance with cer­tain risk-mit­i­gat­ing requirements.

Dr Hal­lensleben, thank you for shar­ing your insights on the oppor­tu­ni­ties and risks of the dig­i­tal space and what shape it might need.

Thank you, Dr Cal­daro­la, and I look for­ward to read­ing your upcom­ing inter­views with recog­nised experts, delv­ing even deep­er into this fas­ci­nat­ing topic.

About me and my guest

Dr Maria Cristina Caldarola

Dr Maria Cristina Caldarola, LL.M., MBA is the host of “Duet Interviews”, co-founder and CEO of CU³IC UG, a consultancy specialising in systematic approaches to innovation, such as algorithmic IP data analysis and cross-industry search for innovation solutions.

Cristina is a well-regarded legal expert in licensing, patents, trademarks, domains, software, data protection, cloud, big data, digital eco-systems and industry 4.0.

A TRIUM MBA, Cristina is also a frequent keynote speaker, a lecturer at St. Gallen, and the co-author of the recently published Big Data and Law now available in English, German and Mandarin editions.

Dr Sebastian Hallensleben

Dr Sebastian Hallensleben is the Chair of CEN-CENELEC JTC 21 where European AI standards to underpin EU regulation are being developed, and founder of the Digital Trust Convention. He also co-chairs the AI Risk & Accountability work in the Expert Community at the OECD.

Sebastian is Chief Trust Officer at Resaro Europe, prior to which he led on Digital Trust and Artificial Intelligence at VDE Association for Electrical, Electronic and Information Technologies, where he was responsible for new product and service development as well as for giving advice and developing frameworks for the German parliament and several federal ministries as well as EU institutions.

He focuses in particular on AI ethics, on handling the impact of generative AI, building privacy-preserving trust infrastructures as well as characterising AI quality.

Earlier, Sebastian Hallensleben worked on dialog facilitation between academia, industry and policymaking (e.g. in the context of federal research foresight) and in international infrastructure project development for waste, energy and drinking water. He holds a PhD in physics and began his professional life in IT development and solutions architecture in the financial and telecoms sectors.

Dr Maria Cristina Caldarola

Dr Maria Cristina Caldarola, LL.M., MBA is the host of “Duet Interviews”, co-founder and CEO of CU³IC UG, a consultancy specialising in systematic approaches to innovation, such as algorithmic IP data analysis and cross-industry search for innovation solutions.

Cristina is a well-regarded legal expert in licensing, patents, trademarks, domains, software, data protection, cloud, big data, digital eco-systems and industry 4.0.

A TRIUM MBA, Cristina is also a frequent keynote speaker, a lecturer at St. Gallen, and the co-author of the recently published Big Data and Law now available in English, German and Mandarin editions.

FOL­LOW ME