6 Ways Ethical AI Took Centre Stage in 2023
Ethical AI, which used to be this fancy idea, got a makeover – it now had some real power behind it.
Ethical AI, which used to be this fancy idea, got a makeover – it now had some real power behind it.
Google last year announced a grant of $1 Mn to IIT Madras for setting up a Centre for Responsible AI.
He acknowledged the benefits but warned against irresponsible use.
Financial crime is the most challenging and fascinating domain I’ve been through, and it provides a huge potential for exploration for data scientists
Historically, AI and machine learning have had the reputation of being a black box.
Trust in technology does not often emerge on its own.
We have established Standard Operating Procedures (SOPs) for developing and operating in the AI environment.
Hirect uses a proprietary AI algorithm to match job descriptions with qualified candidates based on metadata and behavioural data.
We must always determine beforehand when humans should be involved and when automated decision-making should be used.
Global spending on AI systems will increase from USD 85.3 billion in 2021 to more than USD 204 billion in 2025.
To reduce the chances of biases creeping into our AI, we first define and buttonhole the business problem we mean to solve, keeping our end-users in mind, and then configure our data collection methods to make room for diverse, valid opinions as they keep the AI model limber and flexible.
The free online course from the University of Helsinki is for anyone who is interested in the ethical aspects of AI.
SuperBot is an intelligent voice agent that can drive conversations with humans via multiple telephony channels.
AI governance methods are hard to standardise as there is no unified global agreement on AI best practices. At Fosfor, AI governance is based on explainability, fairness evaluation, and human in the loop (HITL) approach.
FENCE (Fairplay Ensuring Network Chain Entity) is Dream11’s in-house fraud detection system.
IBM’s use of AI is grounded on the principle that AI augments human decision-making.
SLQ is a robust, AI-based credit lending system that assesses the goodness quotient of the borrower and their ability to repay.
We own all the data that we use to develop our composition algorithms.
Any organisation that adopts AI solutions must put together an AI governance plan first.
On May 18 2021, Google CEO Sundar Pichai announced the rollout of LaMDA, a large language model (LLM) system that can chat with its users
Analytics India Magazine has curated a list of ten women from across the globe who are leading the ethical AI fight against the big techs of the world.
Countries are investing heavily in AI research and development. However, there are currently no norms or standards in place for ethical AI research, design, or use.
Saishruthi is an active ethical AI practitioner and advocate based out of California. She has been a one of the top contributors to the field of Ethical AI.
The global AI governance market is expected to reach $1,016 million by 2026, growing at a CAGR of 65.5 per cent between 2020 and 2026.
Tech giants are increasingly saying no to technologies that involve facial recognition, voice mimicking software and emotion analysis.
Public trust is the centre stone of professionalism, founded on Competency, Ethical values, and Accountability.
The proposed EU regulations will cover European citizens as well as companies operating in the area.
Google is at it again. After firing Timnit Gebru over her research paper’s ‘unacceptable’ content, the company is now investigating Margaret Mitchell, co-leader of Google’s
“Google AI’s new research on language models, in collaboration with OpenAI and Apple hints that the company cares about transparency.” As language models continue to
In recent news, Timnit Gebru, a prominent voice in the field of AI and ethics and the co-leader of Google Ethical AI team, was fired
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