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Commissioner Advocates Stronger GDPR Safeguards In Tax Reform

Commissioner Maria Christofidou, the authoritative figure in personal data protection, has recently reiterated her support for the government’s ambitious tax reform measures. On both November 14 and November 21, she underscored the need for a balanced approach that safeguards citizens’ privacy while reinforcing the fiscal system.

Addressing Previous Concerns

Earlier, the Commissioner expressed worries about the excessive centralization of power within the Tax Department, a concern detailed in a recent analysis. Her latest recommendations echo these early concerns by emphasizing that any adoption of advanced artificial intelligence systems by the tax authority must be accompanied by robust data protection measures.

Integrating Safety Valves With Artificial Intelligence

The Commissioner is calling for the integration of explicit safety mechanisms within the legislative framework governing tax reform. This provision is critical to ensure that the collection, analysis, and processing of mass data—spanning both public and private sources—remain strictly aligned with the overarching principles of the General Data Protection Regulation (Gdpr). The proposed measures would mitigate risks of bias, discrimination, and potential infringements on individual privacy that could arise from algorithm-driven decision-making.

A Call For Transparent And Effective Governance

In her communication with the Parliamentary Committee on Finance, Christofidou welcomed the government’s initiatives aimed at curbing tax evasion and avoidance. However, she stressed that any legal framework established must be robust, transparent, and capable of balancing effective tax collection with stringent data protection standards. Central to this balance is the necessity for comprehensive data governance and mandatory impact assessments under Articles 35 and 36 of the Gdpr.

Legislative Timetable And Future Implications

The Commissioner further argued that the forthcoming tax reform legislation, particularly the Guarantee and Collection Act, should include a general provision that refers explicitly to the Gdpr. This measure is intended to ensure that all data collection and processing activities conducted by the tax authority are performed within an established regulatory framework that upholds legality, integrity, objectivity, transparency, and proportionality.

Additionally, she recommended that, should the Tax Department employ artificial intelligence systems in its operations, an in-depth data protection impact assessment must be completed. This proactive approach would provide a crucial safeguard both for the tax authority and any entity that contributes data, thereby bolstering confidence in the public administration’s handling of sensitive information.

Imminent Parliamentary Review

Simultaneously, deliberations continue in the Parliamentary Committee on Finance, where six draft bills are under discussion. Owing to time constraints, an emergency session has been scheduled for Thursday. In response to government directives, the legislature is expected to approve the tax reform initiative before year-end to facilitate its implementation by January 1, 2026. It is anticipated that the draft bills will be presented before the full Parliament during the first half of December.

The Commissioner’s remarks underscore the critical intersection of technological innovation and regulatory oversight in contemporary tax administration—a balance that will define the future of both fiscal policy and data privacy.

Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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