Global Responsible AI: Reliability and Safety

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Global Responsible AI: Fairness, Transparency, Privacy & Security
March 19, 2024 | 6-7 Minutes read
This is part two of a series of articles where we take an in-depth look into the Responsible AI Framework and share our insights from 15 international projects involving responsible AI. Originally developed by Microsoft in 2017, Hatch Studios adapted the responsible AI framework for 3 years to help companies develop responsible AI systems that work across countries, cultures, and languages.
Global Responsible AI: Inclusiveness and Accountability
March 19, 2024 | 7-8 Minutes read
This is part one of a series of articles where we take an in-depth look into the Responsible AI Framework and share our insights from 15 international projects in the last 3 years that included the use of responsible AI. Originally developed by Microsoft in 2017, Hatch Studios adapted the responsible AI framework to help companies develop responsible AI systems that work across countries, cultures, and languages.
Privacy Policies That Keep Everyone Happy. Do They Exist?
March 19, 2024 | 5 Minutes read
Personalization has been the single biggest product differentiator for more than a decade now and will continue to be so for most industries. But privacy as a differentiator isn’t far behind. Companies can set themselves apart by taking a privacy-by-design approach, being a leader in data protection and prioritizing users’ privacy. Effective communication also goes a long way in building trust and customers do respond positively to awareness campaigns even when they only point out the basics. This is becoming even more important now that an increasing number of consumers wish for personalization and privacy to coexist together. In the same vein, privacy is a differentiation feature that an increasing number of consumers are willing to pay for. Recent studies show that consumers are willing to pay as much as 25 percent more for privacy-focused features. In fact, more than 40 percent of companies are seeing benefits at least twice that of their privacy spend. This makes one thing clear – consumers are far more likely to use and support services that help users feel cared for, secure and in control of their data.

Global Responsible AI: Fairness, Transparency, Privacy & Security

Related articles

Privacy Policies That Keep Everyone Happy. Do They Exist?
March 19, 2024 | 5 Minutes read
Personalization has been the single biggest product differentiator for more than a decade now and will continue to be so for most industries. But privacy as a differentiator isn’t far behind. Companies can set themselves apart by taking a privacy-by-design approach, being a leader in data protection and prioritizing users’ privacy. Effective communication also goes a long way in building trust and customers do respond positively to awareness campaigns even when they only point out the basics. This is becoming even more important now that an increasing number of consumers wish for personalization and privacy to coexist together. In the same vein, privacy is a differentiation feature that an increasing number of consumers are willing to pay for. Recent studies show that consumers are willing to pay as much as 25 percent more for privacy-focused features. In fact, more than 40 percent of companies are seeing benefits at least twice that of their privacy spend. This makes one thing clear – consumers are far more likely to use and support services that help users feel cared for, secure and in control of their data.
Global Responsible AI: Reliability and Safety
July 25, 2024 | 6-7 Minutes read
This is part three of a series of articles where we take an in-depth look into the Responsible AI Framework and share our insights from 15 international projects involving responsible AI. Originally developed by Microsoft in 2017, Hatch Studio adapted the responsible AI framework for 3 years to help companies develop responsible AI systems that work across countries, cultures, and languages.
Global Responsible AI: Inclusiveness and Accountability
March 19, 2024 | 7-8 Minutes read
This is part one of a series of articles where we take an in-depth look into the Responsible AI Framework and share our insights from 15 international projects in the last 3 years that included the use of responsible AI. Originally developed by Microsoft in 2017, Hatch Studios adapted the responsible AI framework to help companies develop responsible AI systems that work across countries, cultures, and languages.

Global Responsible AI: Inclusiveness and Accountability

Related articles

Global Responsible AI: Fairness, Transparency, Privacy & Security
March 19, 2024 | 6-7 Minutes read
This is part two of a series of articles where we take an in-depth look into the Responsible AI Framework and share our insights from 15 international projects involving responsible AI. Originally developed by Microsoft in 2017, Hatch Studios adapted the responsible AI framework for 3 years to help companies develop responsible AI systems that work across countries, cultures, and languages.
Global Responsible AI: Inclusiveness and Accountability
March 19, 2024 | 7-8 Minutes read
This is part one of a series of articles where we take an in-depth look into the Responsible AI Framework and share our insights from 15 international projects in the last 3 years that included the use of responsible AI. Originally developed by Microsoft in 2017, Hatch Studios adapted the responsible AI framework to help companies develop responsible AI systems that work across countries, cultures, and languages.