Archives for AI & ethics - Page 2
Trust in technology does not often emerge on its own.
The post How Indian startups embed Ethical AI in their processes appeared first on Analytics India Magazine.
TensorFlow Federated (TFF) is an open-source framework for decentralised machine learning.
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.
![Talking Ethical AI with Aerospike’s Aveekshith Bushan image-33560](https://149695847.v2.pressablecdn.com/wp-content/uploads/2022/04/Picture-1-1.png)
![Talking Ethical AI with Aerospike’s Aveekshith Bushan image-33560](https://149695847.v2.pressablecdn.com/wp-content/uploads/2022/04/Picture-1-1.png)
Global spending on AI systems will increase from USD 85.3 billion in 2021 to more than USD 204 billion in 2025.
![Talking Ethical AI with Aerospike’s Aveekshith Bushan image-33561](https://149695847.v2.pressablecdn.com/wp-content/uploads/2022/04/Picture-1-1.png)
![Talking Ethical AI with Aerospike’s Aveekshith Bushan image-33561](https://149695847.v2.pressablecdn.com/wp-content/uploads/2022/04/Picture-1-1.png)
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.
![How this German drug discovery startup utilises AI image-33528](https://s.w.org/images/core/emoji/13.1.0/72x72/2122.png)
![How this German drug discovery startup utilises AI image-33528](https://s.w.org/images/core/emoji/13.1.0/72x72/2122.png)
Our AI algorithms are constantly evaluated using objective performance metrics.
We use the CRISP-DM methodology to ensure each data science problem is solved holistically and meets business expectations and standards.