Individual rights, privacy, non-discrimination, and non-manipulation are all examples of ethical AI. Ethical AI prioritises ethical concerns when assessing which uses of AI are permissible and which are illegitimate.
To ensure adherence to these criteria, ethical AI-using organisations have clearly established rules and well-defined review processes.
What is legal by law does not define ethical AI. Legal restrictions on AI use provide a minimal level of acceptability, whereas ethical AI establishes standards that go above and beyond legal requirements to ensure that core human values are respected.
The Global Ethical AI Market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2026, registering a CAGR of XX% from 2022 to 2027.
C3 AI, a software business specializing in enterprise AI, has announced the general availability of C3 AI Version 8, which will drastically speed up the creation of large-scale AI applications.
anch.AI has made a public announcement about its new ethical artificial intelligence (AI) platform, which will serve as a single location for companies seeking responsible AI governance.
Screening, assessment, auditing, mitigation, and reporting tools are included in AI’s comprehensive Ethical Governance Platform suite of services, allowing data-driven organisations and their respective tech, legal, and business teams to manage compliance and assess risk exposures on any AI solutions within their environment.
Monitaur, a firm that develops AI governance software, has announced the general availability of GovernML, the latest edition to its ML Assurance platform, which is aimed at businesses who are committed to responsible AI.
GovernML, which is available as a web-based SaaS platform, allows businesses to create and maintain a system of record for model governance policies, ethical standards, and model risk across their whole AI portfolio.
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