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ACCC chief warns new competition laws protect against big data e-collusion Featured

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ACCC chief warns new competition laws protect against big data e-collusion Image courtesy of Stuart Miles at FreeDigitalPhotos.net

Data-driven innovation has allowed consumers to search for better products and deals instantaneously and allows providers to price discriminate based on minute-by-minute demand analysis – but it also creates opportunities for collusion, according to the chief of the competition watchdog, the ACCC.

ACCC chairman Rod Sims made his comments in Sydney on Thursday when outlining how the Harper competition reforms and the ACCC’s establishment of an analytics unit would help protect consumers from incidents of e-collusion from the rise of big data.

“The ACCC sees many economic advantages, realised and unrealised, in data-driven innovation. More often than not, data-driven innovation develops efficient solutions to everyday problems, such as petrol apps which assist consumers work out when and where to buy petrol at the best prices,” Sims said.

“However, these developments clearly have many consequences for markets, and the ACCC is considering cases where algorithms are deployed as a tool to facilitate conduct which may contravene Australian competition law.”

Sims noted that in response to tech development, the ACCC now has a Data Analytics Unit which has been deployed in a number of market studies the agency has undertaken, as well as to support the work of ACCC investigations teams and economists.

“Some argue that in the right market conditions, pricing algorithms may be used to more effectively engage in and sustain collusion, whether ‘tacit’ or not, reducing competition but without contravening competition laws. It is said that a profit-maximising algorithm will work out the oligopolistic pricing game and, being logical and less prone to flights of fancy, stick to it,” said Sims.

“To further complicate matters, the development of deep learning and artificial intelligence may mean that companies will not necessarily know how, or why, a machine came to a particular conclusion. To this end, it is argued that if similar algorithms are deployed by competing companies, an anti-competitive equilibrium may be achieved without contravening competition laws.”

In response to firms or programmers who think algorithmic collusion is a ‘get out of jail free’ card, Sims said, “you cannot avoid liability by saying ‘my robot did it’.”

“I am confident that our laws, particularly with the addition of the new concerted practices provision under section 45 of the Competition and Consumer Act 2010, but also the new misuse of market power provisions, can deal with either situation if they substantially lessen competition,” he said.

“At this stage, the ACCC has not seen any anti-competitive algorithms which require an enforcement response beyond what is now available to the ACCC under Australian law.”

Sims cited a hypothetical case of a learning algorithm deployed by a firm with substantial market power to determine profit-maximising downstream prices and engage in a margin squeeze.

“It may be difficult to establish that a firm with substantial market power had a proscribed anti-competitive purpose when deploying that algorithm, but by focusing on the effect or likely effect of conduct, however, the new misuse of market power provision is fit-for-purpose to prohibit this conduct,” he cautioned.

“Similarly, the new concerted practices prohibition should help shift the focus away from a requirement to establish a ‘meeting of the minds’ to consider whether there has been cooperation between competing businesses that substantially lessens competition.

“If robots are colluding, this provision will help us stop it.”

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