
AI tools not for decision making: Kerala HC guidelines to district judiciary on AI usage, ETCISO
The High Court has come out with the 'Policy Regarding Use of Artificial Intelligence Tools in District Judiciary' for a responsible and restricted use of AI in judicial functions of the district judiciary of the state in view of the increasing availability of and access to such software tools.
According to court sources, it is a first-of-its-kind policy.
It has advised the district judiciary to "exercise extreme caution" as "indiscriminate use of AI tools might result in negative consequences, including violation of privacy rights, data security risks and erosion of trust in the judicial decision making".
Advt
Advt
Join the community of 2M+ industry professionals. Subscribe to Newsletter to get latest insights & analysis in your inbox.
All about ETCISO industry right on your smartphone! Download the ETCISO App and get the Realtime updates and Save your favourite articles.
"The objectives are to ensure that AI tools are used only in a responsible manner, solely as an assistive tool, and strictly for specifically allowed purposes. The policy aims to ensure that under no circumstances AI tools are used as a substitute for decision making or legal reasoning," the policy document said.The policy also aims to help members of the judiciary and staff to comply with their ethical and legal obligations, particularly in terms of ensuring human supervision, transparency, fairness, confidentiality and accountability at all stages of judicial decision making."Any violation of this policy may result in disciplinary action, and rules pertaining to disciplinary proceedings shall prevail," the policy document issued on July 19 said.The new guidelines are applicable to members of the district judiciary in the state, the staff assisting them and also any interns or law clerks working with them in Kerala."The policy covers all kinds of AI tools, including, but not limited to, generative AI tools, and databases that use AI to provide access to diverse resources, including case laws and statutes," the document said.Generative AI examples include ChatGPT, Gemini, Copilot and Deepseek , it said.It also said that the new guidelines apply to all circumstances wherein AI tools are used to perform or assist in the performance of judicial work, irrespective of location and time of use and whether they are used on personal, court-owned or third party devices.The policy directs that usage of AI tools for official purposes adhere to the principles of transparency, fairness, accountability and protection of confidentiality, avoid use of cloud-based services -- except for the approved AI tools, meticulous verification of the results, including translations, generated by such software and all time human supervision of their usage."AI tools shall not be used to arrive at any findings, reliefs, order or judgement under any circumstances, as the responsibility for the content and integrity of the judicial order, judgement or any part thereof lies fully with the judges," it said.It further directs that courts shall maintain a detailed audit of all instances wherein AI tools are used."The records in this regard shall include the tools used and the human verification process adopted," it said.Participating in training programmes on the ethical, legal, technical and practical aspects of AI and reporting any errors or issues noticed in the output generated by any of the approved AI tools, are the other guidelines mentioned in the policy document.The High Court has requested all District Judges and Chief Judicial Magistrates to communicate the policy document to all judicial officers and the staff members under their jurisdiction and take necessary steps to ensure its strict compliance.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
&w=3840&q=100)

Business Standard
8 minutes ago
- Business Standard
ChatGPT Agent arrives on Mac: Automates searches and tasks for subscribers
OpenAI's ChatGPT Agent feature launches on Mac for Pro, Plus, and Team users, enabling web browsing, data analysis, and task automation with GPT-4o and deep tool integration New Delhi OpenAI has reportedly rolled out its Agent feature to the ChatGPT app for Mac, offering AI-powered task automation for users on Pro, Plus, and Team plans. According to a report by 9To5Mac, the tool—announced a week ago—integrates OpenAI's Operator and Deep Research capabilities to enable hands-free, multistep task execution using GPT-4o. With this launch, users can delegate tasks such as browsing the web, creating presentations, conducting research, analysing data, and coding—directly from their Mac desktop. Availability What is ChatGPT Agent ChatGPT Agent is an AI automation assistant that can manage multistep workflows with minimal user input. Acting like a virtual operator, it can click, browse, type, and interact with web tools or platforms simulating human-like digital behaviour. On macOS, users can activate the feature using the '/agent' command or by selecting the new Agent button in the ChatGPT app interface. The agent follows a step-by-step reasoning process, visible to the user, who can step in or stop the process at any time. Key Capabilities In internal demos and user testing, ChatGPT Agent has demonstrated the ability to: Search and filter e-commerce websites, and add products to carts Draft presentations, pull data from Google Drive, and generate charts and slides Plan events or trips, find outfits, hotels, and populate spreadsheets Execute code and access terminal tools Conduct deep research and convert findings into structured formats Visually interact with websites via the Operator interface Limitations and Safeguards OpenAI emphasised that the Agent feature is still under development. It currently declines tasks involving financial transactions, legal matters, or sensitive communications unless explicitly approved by the user. Tasks like writing emails, placing orders, or editing shared documents require supervision or confirmation. Future updates will focus on enhancing speed, reliability, and safety. As OpenAI brings more powerful tools into desktop environments, ChatGPT Agent is poised to become a key productivity assistant for users relying on intelligent automation.


Mint
8 minutes ago
- Mint
Here's a case for why AI should pay for the environmental damage it causes
Humanity has collectively decided to keep pampering the fossil-fuel industry despite knowing for decades that its products are not only harmful to long-term well-being but also imminently replaceable. It shouldn't make the same expensive mistake with artificial intelligence. Last week, Laurence Tubiana, chief executive officer of the European Climate Foundation, a non-profit research and advocacy group, suggested taxing AI to raise money for climate adaptation. Tubiana helped craft the Paris climate accord and is part of the Global Solidarity Levies Task Force, a group rummaging through the world's couch cushions for spare change to help it adjust to an environment growing more chaotic and destructive as the planet gets hotter. The group has identified some obvious targets, such as taxing 'premium flyers," cryptocurrencies, fossil-fuel profits and shipping emissions. Also Read: Outrage over AI is pointless if we're clueless about AI models Until Tubiana's comments, the group hasn't said much about AI. Sutton's Law—based on the apocryphal claim by Willie Sutton that he robbed banks because that's where the money was—suggests it might want to give AI a look. The United Nations Trade and Development Agency has estimated the value of this market will explode from $189 billion to $4.8 trillion by 2033, starting to threaten the size of the fossil-fuel market. All that growth will require dizzying amounts of energy to run data centers around the clock and a lot of water to cool acres of servers. These power-hungry facilities, which are popping up around the world like acne on a teenager, could consume as much as 12% of total US electricity by 2028, according to a report last year by the Lawrence Berkeley National Laboratory, up from 4.4% in 2023. By 2050, data centers could use as much as 8.7% of the entire world's energy, BloombergNEF estimates. Also Read: Climate progress: India's transition path to clean energy is about get steeper Much of that power will be generated by fossil fuels, the primary source of the greenhouse gases cooking the atmosphere. Data-center operations could increase global emissions of these gases by 3.5 billion tonnes in the next decade, BNEF reckons, which is about 10% of total global emissions today. The microchips, steel and cement used to build data centers carry their own heavy climate cost. Meanwhile, US data centers could guzzle 74 billion gallons of water a year by 2028, up from less than 6 billion in 2014, according to Lawrence Berkeley. In light of all this, taxing AI to defray its harm to the climate sounds like a great idea. We've already got the perfect example of what happens when you fail to hold an industry accountable for its externalities: fossil fuels. By one estimate, we give oil, gas and coal producers about $6 trillion every year in implied subsidies by failing to price their products high enough to account for their environmental damage. That's a lot of money that could go toward steeling ourselves against rising seas and weather disasters. Also Read: Rely on modern geothermal energy to power our AI ambitions The rationale of these subsidies is that the societal benefits of fossil fuels—namely, abundant energy to fuel economic growth—outweigh the costs. But this gets more untrue every year as an increasingly chaotic climate wreaks more havoc. Each degree Celsius the planet warms over pre-industrial averages cuts global economic growth by 12%, according to a National Bureau of Economic Research study last year. Of course, this wasn't so apparent in the 19th century, when today's fossil fuel industry was just a gleam in John D. Rockefeller's eye. Magical stuff came out of the ground that kept the lights on, and it took us a little while to see the downside. In contrast, the societal benefits of AI are fuzzy at best while the many downsides are already plain. It makes no sense to give this industry its own free pass on environmental destruction. In theory, a tax on AI, or at least its carbon emissions, would push tech companies to seek efficiency and cleaner energy sources. In practice, making such a tax work would be challenging, Robert Bikel, director of the Socially‚ Environmentally‚ and Ethically Responsible Programme at the Pepperdine Graziadio Business School, told me. If you make the tax too low, then it becomes just another cost of business and loses effectiveness. If you make it too high, then tech companies will just build their data centers in a jurisdiction that's not so picky about the environment. The net result might be more emissions than without the tax. Making such a levy universal would help solve that problem. But good luck getting two of the world's biggest AI enthusiasts—US President Donald Trump's US and China—to play along. For that matter, a global tax on carbon would be the most efficient device of all, taking care of those fossil-fuel subsidies and keeping the AI industry in line in one fell swoop. But that's even deeper in political fantasyland. Also Read: Going nuclear will be the only way to keep the lights on as AI guzzles ever more electricity Still, there are other tools. NIMBYism is unhelpful in many ways, but it has put some brakes on runaway data-center growth. In the past two years, projects worth $64 billion have been canceled or delayed by public opposition, according to the research group Data Center Watch. The blowback is bipartisan; 55% of the public officials opposing new data centers were Republicans. Pressure from locals and investors could be enough to make AI purveyors embrace tech that uses less energy and water. They could use their excess heat to keep local homes warm, cutting energy bills and fossil fuel demand. They could invest in renewables, grid upgrades and carbon removal and capture. Most importantly, though, they need to stop and think about exactly how much of this rush to make AI as big and resource-consuming as physically possible is truly necessary. 'There's a lot of techno-optimism that more tech and more growth is inherently good," Bikel said. 'I like to flip that around and say what is the economy serving? What's AI serving? How is it contributing to human flourishing or even just existential stability?" Answering those questions would go a long way to making AI's growth more sustainable and avoiding many more expensive mistakes. ©Bloomberg The author is a Bloomberg Opinion editor and columnist covering climate change.


Indian Express
8 minutes ago
- Indian Express
Tired of irrelevant search results? Google's new AI feature is here to help
Google has rolled out Web Guide, a new experimental feature that organises the Google Search results page using artificial intelligence. The company claims the feature makes it simpler to locate online pages and information. Web Guide will be available only to users who participate in the Search Labs experiment. Those users can click on the 'Web' filter or tab on the Google Search results page. According to the Alphabet-owned tech giant, Web Guide uses a customised version of Gemini to better comprehend site content and search queries. The tool arranges online connections in useful groups, such as pages that are relevant to particular elements of search queries. Before displaying a collection of links, the feature adds headers and brief summaries, and there is a choice to load additional content within each category. By selecting the 'Standard Web' option at the top of the results page, users can always return to the standard experience. Google announced that the 'All' tab and other areas of Search will get AI-organised results. This broadens the range of generative AI capabilities that Google Search offers. AI Mode is a more sophisticated tool that provides in-depth, conversational responses to challenging enquiries. To identify the most relevant results, Google Web Guide conducts concurrent related searches using a query fan-out technique, which is also visible in AI Mode. Both open-ended and comprehensive multi-sentence queries can be used with this capability. Imagine you are organising a trip abroad by yourself. The feature will fill AI-organised results on subjects including in-depth travel guides, other travellers' firsthand accounts, and safety advice. Google introduced its AI Mode function in Search earlier this year. This function, which is now being implemented in India, enables users to conduct more intricate and in-depth search queries. The company refers to the AI Mode feature as the 'query fan-out technique' as mentioned above, which essentially divides the query into smaller topics and conducts several searches for you. The AI Mode function can also be used to shop for billions of products, access real-time sources like Knowledge Graph, and obtain information about the real world.