Search: For - algorithmic

8 results found

Auditing AI: What is it and why does it matter for India?
Jan 30, 2024

Auditing AI: What is it and why does it matter for India?

To ensure that AI’s benefits are realised and risks are addressed, algorithmic auditing can help analyse how these systems operate, and in the proce

Filling the Blanks: Putting Gender into Military A.I.
Aug 21, 2023

Filling the Blanks: Putting Gender into Military A.I.

Defence structures around the world are seeing a technological upheaving as new and emerging technologies like artificial intelligence (AI) are being added to military arsenals. However, military AI largely lacks precision and is often developed without any threat-modelling which takes gender into account, examples of which are already being seen in civilian applications of AI. Translated into a conflict environment, deploying such AI systems cou

From data to deployment: Gender bias in the AI development lifecycle
Mar 07, 2024

From data to deployment: Gender bias in the AI development lifecycle

The AI development process from design to deployment perpetuates gender bias. Future legislation should recognise these gender-based risks to mitigate

With new tech comes new responsibilities
Jan 30, 2024

With new tech comes new responsibilities

Corporates which leverage algorithms need to hold themselves accountable to mitigate the harm caused by algorithmic systems until proper legislation i

एआय ऑडिटिंगचा अर्थ आणि भारतासाठी त्याचे महत्त्व
Feb 23, 2024

एआय ऑडिटिंगचा अर्थ आणि भारतासाठी त्याचे महत्त्व

कृत्रिम बुद्धिमत्तेचे फायदे लक्षात आले आहेत आणि धोके दू�

डेटा निर्मितीपासून वितरणापर्यंत: AI क्षेत्रातील लिंग भेदभाव
Mar 15, 2024

डेटा निर्मितीपासून वितरणापर्यंत: AI क्षेत्रातील लिंग भेदभाव

एआय विकसित करण्याच्या प्रक्रियेत, त्याच्या डिझाइनपासून

नवीन तंत्रज्ञानामुळे नव्या जबाबदाऱ्याही येतात
Feb 16, 2024

नवीन तंत्रज्ञानामुळे नव्या जबाबदाऱ्याही येतात

अल्गोरिदमचा फायदा घेणाऱ्या कॉर्पोरेट्स संस्थांनी योग्�

‘Reasonable Explainability’ for Regulating AI in Health
May 11, 2023

‘Reasonable Explainability’ for Regulating AI in Health

Emerging technology is slowly finding a place in developing countries for its potential to plug gaps in ailing public service systems, such as healthcare. At the same time, cases of bias and discrimination that overlap with the complexity of algorithms have created a trust problem with technology. Promoting transparency in algorithmic decision-making through explainability can be pivotal in addressing the lack of trust with medical artificial int