Monday, March 06, 2017

The Myth of Data Monopoly: Why Antitrust Concerns About Data Are Overblown

ITIF, here

Watchdog to launch inquiry into misuse of data in politics

TheGuardian, here

Les actions privées en réparation du dommage concurrentiel

Entretien avec Irène Luc, ici

The FCC Helped Make the Internet Great: Now, It’s Walking Away

K. Werbach, here

From Bacteria to Bach and Back: The Evolution of Minds

D. Dennett, Video here

‘Artificial Intelligence’ Has Become Meaningless

The Atlantic, here

Bierpreisdeckel für Münchner Wiesn rechtlich zulässig

BR.de, hier

EU's Margrethe Vestager on Facebook Probe, Google Cases

Bloomberg, Video here

Droit à la désindexation : le Conseil d’Etat s’en remet à la CJUE

Legalis, ici

Daten als neue Währung?

H. Schweitzer, hier

"DEAL" gefährdet Publikationsvielfalt bei Fachzeitschriften

Boersenblatt.net, hier

Big data, artificial intelligence, machine learning and data protection

ICO, here

Artificial data give the same results as real data — without compromising privacy

MIT News, here

Google's Featured Snippets are worse than fake news

TheOutline, here

Turkey to Investigate Antitrust Complaint Against Google

NYTimes, here

Code of Practice on Search and Copyright

Uber's use of Greyball tool: Written question to the European Commission

M. Schaake, here

Should economists be more concerned about Artificial Intelligence?

Bank Underground, here.
Deloitte's Report here

Updated guidance on the CMA’s approach to market investigations

CMA, here

Monday, February 20, 2017

Combative French Plaintiff Obtains Extended Jurisdiction Over Cross-Border Online Marketplace Sales

Bryan Cave, here

Narrow MFN clauses in the EU: Both types of measure (i.e. allowing or prohibiting them) go in the right direction

ECN DGs, here.

(Read the press release for yourself if you don't believe me).

Stunning 'AI brain scans' reveal what machines see as they learn new skills

Wired, here

Can we machine-learn Google’s machine-learning algorithm?

SearchEngineLand, here

On sausages and Facebook/WhatsApp – Germany reforms its antitrust act (part 1 of 2)

R. Podszun, here

The GDPR and All That

B. Tretick, here

Towards a Magna Carta for Data

RIA, here

Bundeskartellamt wird doch keine Verbraucherbehörde

Tagesspiegel, hier

Alexa Skills ecosystem analysis

GetRevue, here

How antitrust enforcement can spur innovation: Bell Labs and the 1956 Consent Decree

M. Watzinger, T. Fackler, M. Nagler, M. Schnitzer, here

Eric Schmidt: AI research needs to be done in the open, not in military labs

ZDNet, here

Wettbewerbshüter sieht Opel-Übernahme gelassen

FAZ, hier

Search engines and creative industries sign anti-piracy agreement

UK IPO, here

Erfolgreiche Kartellverfolgung: Nutzen für Wirtschaft und Verbraucher

Bundeskartellamt, hier

Wednesday, February 15, 2017

Driving competition and innovation in the financial services sector

Competition Bureau, here

EU Merger Control: BEUC’s comments on jurisdictional thresholds

Here

Comment prouver les pratiques anticoncurrentielles à l’heure de leur optimisation algorithmique ?

LeMonde, ici

A Hippocratic Oath For AI Developers? It May Only Be A Matter Of Time

Thersa, here

"Democracy as Data"?

Merkur-zeitschrift.de, hier

Hoteliers Comb the Ranks of Tech Workers to Gain an Edge

NYTimes, here

Australian banks go back to ACCC to further delay customers from getting Apple Pay

TheConversation, here

Democracy - Im Rausch der Daten

Film, hier. Post mit sunset clause: Nur noch für 5 Tage!
(VPN möglicherweise erforderlich).

Why Incentives for 'Patent Holdout' Threaten to Dismantle FRAND, and Why it Matters

R. Epstein, K. Noroozi, here

From Holocaust Denial To Hitler Admiration, Google’s Algorithm Is Dangerous

F. Pasquale, here

Autodaten bald teurer als Fahrzeuge selbst

Science.orf.at, hier

The need for a Digital Geneva Convention

Microsoft, here

The Digital Privacy Paradox: Small Money, Small Costs, Small Talk

S. Athey, C. Catalini, C. Tucker, here

South Korean antitrust investigation looks to determine if Google doomed Samsung’s Tizen platform

VentureBeat, here

Farmers sue big poultry processors

AgriNews, here

Enfin un « upgrade » de l’exception de citation dans la prochaine directive sur le droit d’auteur ?

Scinfolex, ici

Push on to adapt copyright law to provide greater ‘fair use’

TheAustralian, here

Data Ownership

Bird&Bird, here

Tuesday, February 14, 2017

When Competition Policy Meets Science Fiction (Part 2)

(Part 1 here)

Further discussions in London focused on a second constellation, characterized as “Hub and Spoke”, in which competitors do not predetermine the pricing rules themselves but outsource this function to a third party. The main differences between this and the “Messenger Scenario” (as described above with reference to the UK poster case) are that the parties here a) use the same automated repricing tool and b) the computer programme calculates prices based on its own blueprint and not directly executing the rules set by the human sellers. As noted by some of the conference speakers and thoroughly discussed in the book Virtual Competition, the use by competing sellers of automated repricing capabilities offered by a single provider can lead to some measure of de facto price alignment. This result is potentially worrisome and competition enforcers should be prepared to address it in a suitable way. This shouldn’t be too difficult where the dampening of price competition produced by the automated repricing tool is intentional on the side of the competitors, meaning that it is the original reason why they have chosen the same algorithmic tool, or that they are at least aware that the technology as concretely employed has or could have this effect. In this case, the automated repricing software jointly employed by the sellers could be seen as the hub (or "brain") that facilitates collusion by controlling the wheel's spokes.

Also amidst the gales of technological change, therefore, the notion of awareness is likely to remain central to the assessment of collusive behaviour, as recently stressed by the CJEU in Eturas, where the Court applied Art. 101(1) TFEU to an online travel booking system used by 30 travel agencies in Lithuania. The administrator of the booking system posted a notice in the system mailboxes informing the agencies of a technical (and automatic) restriction on the discount rates they could offer their own clients. The first preliminary question addressed to the CJEU by the referral national court asked whether the simple proof of the system notice allows the presumption that the “economic operators were aware, or ought to have been aware, of the system notice introduced into the computerised information system”. According to the CJEU, it is up to national law to decide if proof that a message has been sent to the booking system’s mailboxes is sufficient to prove that the addressees were aware, or ought to have been aware, of its content. The presumption of innocence however precludes the referring court from deducing the undertaking's awareness of the message content from the mere dispatch of the message in the booking system. Instead, a presumption of awareness may be based on ‘other objective and consistent indicia’ that the undertaking tacitly assented to an anticompetitive action (for instance, in this case there had been prior communication between the system administrator and the travel agencies regarding a possible capping of discount rates). If awareness of the content of the message can be demonstrated, the acquiescence in that initiative may be inferred unless the undertaking opposes to it (e.g., by reporting the initiative to the authorities). In a nutshell, the “unusual method of communication” between the undertakings concerned, namely the system notice, is a sufficient basis for the finding of a concerted practice aiming to a discount restriction provided that the travel agencies were aware of the content of the communication. This also means that, as argued by the Advocate General Szpunar, “the mode of communication in itself is not relevant, especially since the participants in collusion may be expected to avail themselves of the possibilities offered by the advance of technology”.

On a slightly different note, it should also to be highlighted that future cases are likely to be substantially more challenging than the one considered by the CJEU in Eturas, which had some rather rudimentary technology at its core. Thus, the provider of a jointly employed, big data-fueled repricing tool like for instance Feedvisor could work out profit maximization strategies for the benefit of its high-paying clients that are much more sophisticated (and opaque) than a bare price alignment, based on rich and complex sources of market data, the ranking criteria (algorithms) employed by the marketplaces, the flow of information coming from the sellers, in-depth consumer data, etc. Among the many tactics creatively employed by the automated repricing tool, only a few – difficult to spot, and for intermittent periods of time – could possibly be considered price dampening by way of horizontal collusion.

Also discussed as at least tangentially part of the “Hub and Spoke Scenario” was the so called Uber Dilemma. By joining the car service platform, the driver agrees to charge her riding services according to the fares worked out by Uber’s algorithm. This is a simple, middling vertical agreement between the platform and the driver. Once the platform acquires market power, other drivers could become aware that by joining the platform they would feast on supracompetitive prices (higher fares and, subsequently, higher commissions earned by the platform). At this point, that is likely to materialize after the platform has already tipped into dominance, competition enforcers could detect the familiar scent of horizontal collusion in the market, possibly by way of hub-and-spoke conspiracy. But as soberly intimated by one distinguished competition enforcer and keynote speaker at the conference, “intervening after tipping may be futile”.


(Part 3 never followed, c'est la vie, folks!).

The EU, acting on its own, may conclude the Marrakesh Treaty

Court of Justice of the European Union, Opinion C-3/15, here.

(And shame on those EU States still opposing the conclusion of the Treaty.)

Booking contourne-t-il ses engagements envers les hôteliers ?

JournalDuNet, ici

Monday, February 13, 2017

Optimisation fiscale : Piketty favorable à une taxe sur les données personnelles

Numérama, ici

The Federal Trade Commission's Inner Privacy Struggle

C. Hoofnagle, here

Oracle refuses to let Java copyright battle die – another appeal filed in war against Google

TheRegister, here

Debunking the “No Human” Myth in AI

M. Turk, here

Significant Impediment to Industry Innovation: A Novel Theory of Harm in EU Merger Control?

N. Petit, here

Oracle launches apps to surface predictions and insights from IoT sensor data

VentureBeat, here

Robotics, AI, and the Macro-Economy

J. Sachs, Video here.

See also Implications of AI for the Economy and Society, here

How Online Competition Affects Offline Democracy

A. Ezrachi, M. Stucke, here

Friday, February 10, 2017

Judge, Citing Harm to Customers, Blocks $48 Billion Anthem-Cigna Merger

NYTimes, here

The Dawn of the Big Data Monopolists

A. Miller, here

European Parliament opinion slams European Commission for unbalanced copyright proposal

Communia, here

Algorithm impacts by 2026

PewResearchCenter, here

AI and the Legal Renaissance

Artificial Lawyer, here

DG Comp’s E-Commerce Sector Inquiry Leads To First Enforcement Action — Could Online Marketplace Bans Be Next In Line?

Project-disco.org, here

EC gets serious about geo-blocking

EU-competitionlaw.com, here

How tech companies are blurring the lines over who actually owns your devices

VentureBeat, here

ReDigi Renews Battle With Capitol Over 'Used' iTunes Tracks

MediaPost, here

In the age of Uber and Snapchat, antitrust law needs an update

Los Angeles Times, here

Facebook Commits to Audit of Its Ad Metrics by Media Watchdog

Bloomberg, here

Carnegie Mellon researchers want to fix app permissions once and for all

TheVerge, here

Konkurrenz oder Kooperation: DeepMind erforscht KI-Tendenzen

Heise.de, hier