AI BIAS MITIGATION
Udaan to buy Swiggy’s Lynk; India’s BRICS tech push
Udaan is set to acquire Swiggy-owned Lynk Logistics. This and more in today's ETtech Top 5.
India set to pitch tech synergy for cementing BRICS
India is keen to complete three major multilateral projects under its chairmanship of the 11-country bloc. The global research advanced infrastructure network (GRAIN) initiative will offer researchers from member states federated, or shared, access to high-performance computing systems and supercomputers, an official said.
AI regulations should be nimble to boost innovation: Principal Scientific Advisor Ajay Sood
India's top scientific advisor advocates for agile AI regulations that foster innovation. New amendments to the IT Act 2021 address risks from artificial intelligence and deepfakes. The government prioritises innovation for inclusive growth and developing India by 2047. Existing laws will be strengthened to ensure public safety and fundamental human rights.
Decoded: AI buzzwords everyone talks about
Artificial intelligence is rapidly changing industries and daily life. As a major summit approaches in New Delhi, understanding key AI terms is crucial. This guide explains concepts like Large Language Models and Generative AI. It also covers practical applications and potential issues such as AI bias and hallucinations. The focus is on demystifying AI for everyone.
Govt tells IndiaAI developers to fix bias checks in AI models
Centre cautions against indigenous foundational AI models spewing out historical stereotypes on caste, gender or regional differences.
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India keen on global repository of AI use cases, 'AI commons': India AI Mission CEO
Addressing the Internet Governance Forum, India AI Mission CEO Abhishek Singh said India is in favour of creating a funding facility which ensures that these things are addressed globally, and added that this is on the agenda of the AI Impact Summit to be hosted by India next February.
IndiaAI scales up efforts for deepfake detection, bias mitigation, AI penetration testing
India has taken another major step toward ensuring the safe and ethical use of Artificial Intelligence (AI) through the IndiaAI Mission's new set of projects aimed at strengthening deepfake detection, bias mitigation, and AI security testing. The Ministry of Electronics and Information Technology (MeitY) announced the selection of five pioneering projects under the "Safe & Trusted AI" pillar of the IndiaAI initiative, as per a press release by the Ministry.
Shock move: Zuckerberg's Meta picks Robby Starbuck, anti-LGBTQ+ voice, as AI bias advisor - backlash erupts
Meta Platforms has sparked controversy by appointing Robby Starbuck, a conservative activist with anti-LGBTQ+ positions, as an AI bias advisor. Starbuck previously sued Meta after its AI falsely associated him with the January 6 Capitol riot. While Meta emphasizes his role will help to ensure neutrality, opponents caution it could compromise inclusivity and ethical AI governance.
CII releases guidebook on effective AI adoption, governance for board leaders
CII has introduced a guidebook for board leaders on AI governance, addressing the increasing use of AI in businesses. It emphasizes the importance of board engagement in AI governance, aligning strategies with objectives, and managing risks. The guidebook promotes ethical AI adoption, accountability, and transparency, ensuring responsible AI use and mitigating potential biases.
Indian tech firms ramp up hiring for AI trust and safety roles amid surging demand
Indian tech firms, consultancies, and GCCs are aggressively hiring AI trust and safety specialists to address governance, privacy, and compliance. Demand is surging, outpacing supply, with a projected 50-70% growth in AI safety roles.
International experts outline recommendations for reducing bias risk in AI health tech
Studies indicate that AI systems can be biased, potentially leaving certain individuals and communities at a disadvantage or even causing harm. Key recommendations include preparing summaries of dataset and presenting them in plain language and identifying known or anticipated sources of bias, error, or other influencing factors in the data.
India AI mission: Govt opens second round of bids for AI development projects
The Indian government has opened a second round of bids for its India AI mission, focusing on areas like watermarking and labelling, ethical AI, and risk assessment. The mission, launched in July with a budget of over Rs 10,000 crore, aims to boost AI capabilities through increased compute capacity and application development.
MeitY, DoT at work on projects for fair AI development
The ministry of electronics and information technology (MeitY) and the department of telecommunications (DoT) are spearheading multiple initiatives to ensure the responsible development of artificial intelligence (AI) as it becomes ubiquitous across sectors and daily life.
India AI Mission chooses projects of 8 colleges for ethical AI development
The Rs 10,372 crore India AI Mission, an initiative of the IT ministry, was launched in July last year and aims to create compute capacity of up to 10,000 graphic processing units (GPUs), develop AI applications in critical sectors, and address problems raised by central and state governments as well as government-run institutions.
Private member's bill listed in Rajya Sabha to ensure rights of workers in view of AI
The bill spells out the rights of an employee in case AI is being used by the organisation. It says the government must ensure transparency in the use of AI technologies within the workplace and give employees the 'right to refuse' tasks or decisions solely based on AI-generated processes if they feel it violates their rights or ethical standards.
What will a robot make of your resume? The bias problem with using AI in job recruitment
Establishing guidelines, ethical standards, and promoting transparency in AI decision-making processes are essential for fair recruitment practices. Collaboration between HR professionals and AI developers can lead to more inclusive and equitable hiring processes.
Build your superstructure
As generative AI continues to evolve, the debate over its development and release models becomes important. Across the foundation models driving the explosion of GenAI are two broad philosophies for the development and release of this tech: open- and closed-source models.
First major attempts to regulate AI face headwinds from all sides
Lawmakers are tackling AI bias challenges with impact assessments, supported by industry groups like TechNet. Concerns exist over companies self-reporting discrimination risks, highlighting the need for transparency and accountability.
Why fair and responsible AI is non-negotiable for consumer welfare
Investments in hardware, software, skilling initiatives, and awareness building are essential for a holistic AI ecosystem. Collaboration among government, industry, academia, and civil society is vital to balance fairness, innovation, and responsibility.
Need more women in AI for inclusive development of the technology
A diverse workforce is better tooled to identify and remove biases, while women also bring to the table a different mental toolkit
IT ministry is seeking ideas to build responsible AI
The proposals have been invited from academic institutions and research and development organisations to build indigenously developed "tools and frameworks" that promote the just and ethical development of artificial intelligence.
ChatGPT limited in producing environmental justice information on rural counties, finds US study
ChatGPT is a generative artificial intelligence (AI) tool, developed by OpenAI, that is trained extensively on massive amounts of data in natural language. Such AI tools, also called large language models, can process, manipulate and generate textual responses based on users' requests, or "prompts".
Amazon, Microsoft lead efforts to tackle inherent biases in GenAI
Generative artificial intelligence (AI) chatbots are not free of inherent biases, and several ongoing projects from the likes of Amazon and Microsoft are working towards reducing these biases linked to large language models (LLMs).
Why it's vital to consistently evaluate AI systems through a more humane approach to deal with bias
AI systems could be consistently evaluated and tested against predetermined indicators for bias, and results be made public to incentivise improvements and provide necessary information to other stakeholders engaging with such systems. Such regulatory frameworks need not be hardcoded.
Former Google researcher Timnit Gebru calls for stringent AI regulation
The clamour to regulate AI has grown over the past year in the face of technological advancements at breakneck speed.
Microsoft-backed OpenAI to let users customize ChatGPT
The San Francisco-based startup, which Microsoft Corp has funded and used to power its latest technology, said it has worked to mitigate political and other biases but also wanted to accommodate more diverse views.
ETtech Explainer: warnings aplenty against AI chatbot biases, ignore them at your own peril
The biases can have serious consequences. for individuals and communities, particularly those who have historically faced one or other type of discrimination. Biased algorithms, for instance, can lead to unfair lending practices, or unjust arrests and convictions.
Trai floats paper on leverage AI, big data for sector
As the market for AI and big data grows rapidly, its usage across sectors is also expanding. The telecom sector, for instance, can leverage AI and big data in areas such as quality of service, spectrum management and network security, the regulator said in the paper titled “Leveraging AI and big data in telecommunications sector”.
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