Council Post: Tackling ethical challenges in AI within organisations
The components of ethical AI should be incorporated from the product development stage.
The components of ethical AI should be incorporated from the product development stage.
Instinct is a marvellous thing. It can neither be explained nor ignored ― Agatha Christie.
As a global technology platform company, Intuit helps customers and communities overcome their most important financial challenges.
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.
Biases in AI/ ML Systems are a real threat, and ensuring fairness in such applications is very important to build public trust in AI/ ML Systems.
LIME is an open-source package that enables us to explain the nature of models using visualization. The word LIME stands for Local Interpretable Model-agnostic explanations which means this package explains the model-based local values.
In the past year, GPT-3 has asked individuals to commit suicide, Alexa has challenged a ten-year-old to touch a coin to the plug, and Facebook’s algorithm has identified a man of colour as a primate.
IBM’s use of AI is grounded on the principle that AI augments human decision-making.
The components of ethical AI should be incorporated from the product development stage. Every AI/ML product developed should be looked at from an ethical perspective.
Explainers, the second type of new employment, will bridge the gap between technologists and business leaders.
A business analyst should be trained in modelling; meanwhile, data analysts need to have excellent data mining skills.
Though the definitions of AI governance vary, the basic tenet remains the same – building trust in AI systems.
The model, called COMiT-Net, can identify the regions of the lungs affected by COVID-19.
What contributes to the slow AI and data science adoption? What should Indian companies do to address this problem? We find out.
An online footwear fashion house leveraged AI to get 700,000 odd SKUs processed across three major product categories in just about nine weeks.
After a pandemic-driven start to 2020, enterprises across industries realised the significance of AI and Data Sciences. Its adoption accelerated, and leaders correctly predicted growth
In 2016, Microsoft released an AI-based conversational Twitter chatbot to interact with users through messages and tweets. Within a short period of operation, the chatbot
In this article, we compile some of the best and impactful illustrations and banners from 2021 that our creative team helped express our writers’ motive
One of the bigger challenges we face today is the education about what AI/ML solutions can and cannot do for businesses today.
The Softbank Vision Fund for technological development is the largest private equity fund adding up to $93 billion
Widely referred to as Responsible AI, the concept has been around for the longest time but has recently become a mainstream conversation point.
DataNeuron witnessed a reduction of 97 per cent in a number of paragraphs validated when compared to manual human-in-loop labelling.
One of the implications of this shift is that every corporation needs to build AI skills quickly to stay relevant.
Vertex AI is an API developed by Google research that consists of AutoML and AI Platform in one place. As we know the AutoML that allows us to train models on different kinds of data
Though AI has been around for over 60 years, advances in computing and access to data have allowed many industries to exploit the potential of machine learning algorithms.
The two-day long influential conference on deep learning featured 30 keynote speakers and over 500 attendees, where some of the leading professionals and researchers from 200 organisations presented their feature talks and research papers.
Here’s a list of the top AI and ML courses offered by tech giants in 2021.
Trust is essential to AI adoption. It allows organisations to understand and explain recommendations and outcomes and manage AI-led decisions in their business while maintaining the full ownership and protection of data and insights.
The key highlights of this two-day action-packed applied AI conference were the exciting Advances in AI, Customer & Product Sciences, and Data Science Platforms & Analytics tracks which touched upon every aspect in the field of artificial intelligence, machine learning, and data science.
Public trust is the centre stone of professionalism, founded on Competency, Ethical values, and Accountability.
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