We propose our new Faceless Person Recogniser (described in Sect. 1) to their heads.Īn important component to extract maximal information out of visual data in social networks is to fuse different data and provide a joint analysis. We want to know how well a vision system can recognise a person in social photos (using the image content only), and how well users can control their privacy when limiting the number of tagged images or when adding varying degrees of obfuscation (see Fig.

Although social media data allows to identify a person via different data types (timeline, geolocation, language, user profile, etc.), we focus on the pixel content of an image. As a result, we are seeing a marked increase in the use of a reassessment mechanism by the tax department to bring such unaccounted income/money to tax,' said Vishwas Panjiar, Partner, Nangia Andersen LLP.Īny directive/circular issued by the Government keeping in mind the above factors will go a long way in establishing a fair and just treatment to the taxpayer while simultaneously reducing the cost of compliance in fighting frivolous litigation both of the tax department as well as the taxpayer,' he added.In this work, we investigate the privacy implications of disseminating photos of people through social media. “With the aggressive use of data mining and artificial intelligence in the past couple of years, the Government has been able to establish audit trails of various transactions that were earlier not possible. Samir Kanabar, a tax partner at EY India, said, “Tax assessment being a complex task requires application of mind, and one cannot accomplish the same in abstract or merely relying on data.' Judiciary has taken a step in the right direction to curb the abuse of power by the tax officers leading to chaos in the entire tax collection system,' Mohan said. Re-verification of data on tax portals prior to the initiation of proceedings has emerged as an imperative need to avert violations of the principles of natural justice. “Risk areas identified by big data analytics need human validation before the same is flown to a taxpayer. Rajat Mohan, a partner at tax consultant AMRG Associates, said that the tax authorities must be mindful of the technology tools’ reach, impact, inherent limitations.

The court, which favoured the petitioner and quashed the reassessment order, is set to hear about the imposition of a cost of ₹50 lakh on the central government in the case.Īn email sent to the finance ministry and CBDT on Wednesday seeking comments on the story remained unanswered at the time of publishing.Įxperts said the tax department must go for human validation of data identified through artificial intelligence before issuing any notice to a taxpayer.

The court order highlighted a flaw in the reassessment order issued by the National Faceless Assessment Centre based on data available in the Insight portal, the tax department’s taxpayer profiling portal, about bank deposits allegedly made by the assessee. The court told the government to put in place systems to ensure that cross-checking of facts on its Insight data portal is not an empty formality and that field officers are held accountable if they breach the principle of natural justice. “The faceless assessment system is continuously being monitored for any glitch or loopholes to be fixed,' the person said. Listing some of these changes, the person said that e-verification of information has been made available to assessment officers, standard operating procedures have been introduced earlier this month, and an apex committee at CBDT is closely watching the performance of 20 committees set up across the country to look into taxpayer grievances over aggressive made far beyond returned income. The person cited above said several changes have already been implemented in the assessment proceedings this year, and the faceless operation is constantly being monitored for further refining. The court order came in a case involving Kanpur-based SR Cold Storage dating back to a disputed income for assessment year 2017-18.

Faceless person