Supreme Court: Consider Increasing Retirement Age Of District Judges To 61

Having regard to the fact that this issue is likely to arise

in all the States, let notice be issued to all the High Courts,

States, Union Territories and the Union of India.

S U P R E M E C O U R T O F I N D I A

RECORD OF PROCEEDINGS

Writ Petition(s)(Civil) No(s). 1022/1989

ALL INDIA JUDGES ASSOCIATION & ORS. Vs  UNION OF INDIA & ORS. 

[ONLY IA No. 178214/2026 AND IA No. 178357/2026 ARE LISTED UNDER THIS ITEM]

Date : 13-07-2026 This matter was called on for hearing today.

CORAM : HON'BLE THE CHIEF JUSTICE

HON'BLE MR. JUSTICE JOYMALYA BAGCHI

HON'BLE MRS. JUSTICE V. MOHANA

1. Issue notice.

2. List along with W.P. (Civil) No. 986/2025 on 22.07.2026.

3. Meanwhile, the applicant(s) shall be allowed to continue in

service till the age of 61 years, provided they have not already

been released from the service.

4. Having regard to the fact that this issue is likely to arise

in all the States, let notice be issued to all the High Courts,

States, Union Territories and the Union of India.

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Supreme Court: Offence Under Section 66 of Information Technology Act Is Bailable

 In our considered view, the High Court did not

take into consideration Section 77B of the IT Act,

which has to be read to ascertain the nature of

offence provided under Section 66 of the IT Act.

In such view of the matter, the view expressed

by High Court that Section 66 of the IT Act has not

been defined as a bailable offence under the IT Act,

stands set aside.

IN THE SUPREME COURT OF INDIA

CRIMINAL APPELLATE JURISDICTION

CRIMINAL APPEAL NO. /2026

[@ SLP [CRL.] NO.6547/2026]

MAHARAJ SARAN  Vs  STATE OF PUNJAB & ORS. 

Dated: JULY 16, 2026.

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Supreme Court: No Motor Accident Compensation For Murder Inside Vehicle

 We are of the view that even on this lighter standard, there

is no causal link that has been established. A perusal of the

judgments of the Courts below in a sense assume that the injuries

suffered by the deceased took place while Dilip and Anand were

in the car. How such a conclusion came about, is best known to

them. The evidence-on-record does not point to any forensic

proof having been recovered from the car for example - blood,

skin cells, hair etc. Neither it is anybody’s case that Dilip’s car is

involved in any collision. All that has been said is that the injuries sustained by Anand were by hard and blunt objects. Now true it is that the claimants need not establish the particular manner in which injuries have been sustained by the injured or the deceased but that does not mean that simply because there was a car somehow involved in a chain of circumstances that led to his death, the provisions of MVA would apply. Some link whatsoever between the car, and the death has to be established.

{Para 13}

14. Pursuant to the aforesaid discussion, there is an alleged

accidental murder and there is a motor vehicle, but the

relationship between the two specifically involving a motor

vehicle has not been established. There cannot be, consequently,

any liability under the MVA. Judgments of the Courts below are

set aside. The appeals are allowed. 

REPORTABLE

IN THE SUPREME COURT OF INDIA

CIVIL APPELLATE JURISDICTION

CIVIL APPEAL NOS. OF 2026

(Arising out of SLP(C) Nos.9002-03 of 2026)

DILIP AGARWAL Vs RAJSHRI AGARWAL & ORS.

SANJAY KAROL, J.

Dated: July 22, 2026.

Citation: 2026 INSC 736.

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When Algorithms Misfire: AI Harms and Risk Concepts for Governance Professionals

Why AI Governance Must Start With Harms

Modern AI systems are now embedded in decision-making across finance, healthcare, employment, policing, education and online platforms, often at scale and with little human visibility into how outputs are produced. When such systems are not governed responsibly, they can produce concrete harms to individuals, groups, organizations and democratic institutions, ranging from privacy violations and discriminatory outcomes to safety failures and information disorder. The Knowledge places “identifying the types of risks and harms posed by AI to individuals, groups, organizations and society” at the foundation of AI governance, underscoring that a risk-based understanding of harms is a prerequisite for compliant and trustworthy AI programs.

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