{"id":12570,"date":"2023-12-22T11:13:39","date_gmt":"2023-12-22T10:13:39","guid":{"rendered":"https:\/\/hedgehoglab.com\/?p=12570"},"modified":"2024-01-08T17:56:38","modified_gmt":"2024-01-08T16:56:38","slug":"emerging-topics-in-ai-navigating-the-ethical-landscape","status":"publish","type":"post","link":"https:\/\/hedgehoglab.com\/emerging-topics-in-ai-navigating-the-ethical-landscape\/","title":{"rendered":"Emerging Topics in AI: Navigating the Ethical Landscape."},"content":{"rendered":"\n
In our recent blog post \u2018Leveraging Machine Learning and AI in App Development<\/a>\u2019, we discussed how the development of AI has flung the doors wide open to increasingly personalised and valuable brand experiences.\u00a0<\/p>\n\n\n\n AI presents a new land of opportunity where all industries, from healthcare to education, can improve people\u2019s lives in incredible, innovative ways. But, as we all know, with great power comes great responsibility. And the deployment of AI is certainly no exception.\u00a0<\/p>\n\n\n\n And despite its increasing adoption, there\u2019s still a long way to go both in terms of how users perceive AI deployment and how businesses implement it. <\/p>\n\n\n\n Not only are businesses under immense pressure to embrace these new technologies and deliver more profoundly creative customer experiences than ever. But they must also tread very carefully to ensure regulatory and ethical compliance when they do so.<\/p>\n\n\n\n 2023 has seen AI broaden the boundaries of creativity like never before. But 2024 will see us caveat that creativity with a strong focus on preventing bias perpetuation and the potential for human harm.<\/p>\n\n\n\n So, what is Responsible AI? <\/p>\n\n\n\n Responsible AI is a framework for developing and deploying AI systems that are ethical, trustworthy, and beneficial to society. <\/p>\n\n\n\n Companies like Google<\/a> and Microsoft<\/a> have made their Responsible AI practices and commitments readily available. It stands to reason that customers are far more likely to engage with AI systems that are proven to be fair, unbiased and accountable. Therefore, sharing these principles in a transparent way will significantly help to foster trust among your users and stakeholders. By clearly showcasing your Responsible AI commitments and case studies, you can build a reputation for responsible innovation and genuinely human-centred design.<\/p>\n\n\n\n\n
Key principles of Responsible AI.<\/h3>\n\n\n\n
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