Dive into our latest blog where we explore how AI is changing the business landscape, offering new opportunities for growth and innovation. Learn about the essential considerations for procuring AI systems, from establishing robust governance to selecting the right provider and ensuring compliance. Discover actionable insights to navigate this transformative journey with confidence.
Dive into our latest blog where we explore how AI is changing the business landscape, offering new opportunities for growth and innovation. Learn about the essential considerations for procuring AI systems, from establishing robust governance to selecting the right provider and ensuring compliance. Discover actionable insights to navigate this transformative journey with confidence.
Camilo Sandoval, former Senior White House Advisor, sheds light on the opaque nature of AI systems. This “black box” nature of AI solutions could be particularly concerning in sectors such as healthcare, finance, law, and government, where transparency is paramount. There is a risk that data biases within these systems can lead to unjust outcomes, such as wrongful allocation of federal benefits.
Camilo Sandoval, former Senior White House Advisor, shares insights on leveraging AI for enterprises’ competitive advantage...
Ethical AI procurement not only fosters trust and transparency among stakeholders, but also ensures sustainable business practices by addressing biases and accountability issues...
In a rapidly evolving AI landscape, enterprises must balance innovation with compliance to data protection laws such as the General Data Protection Regulation (GDPR) and the EU AI Act. GDPR is paramount for EU and EEA enterprises - mandating transparency, accountability, and ethical handling of personal data...
Responsible AI involves an ethical and legal framework ensuring the safe, trustworthy, and fair application of artificial intelligence. It involves governance frameworks, transparency promotion, and accountability measures to mitigate biases and uphold principles of fairness and reliability. Real-world initiatives by companies like Microsoft and IBM exemplify responsible AI adoption through comprehensive principles, tools, and...
As enterprises increasingly rely on third-party AI solutions, it is imperative to adopt a holistic approach to vendor assessments. By integrating AI governance practices and leveraging independent AI risk assessment tools, organisations can navigate the complexities of AI adoption while fostering responsible and ethical AI usage for sustainable business growth
In the dynamic landscape of corporate software, recent events surrounding Adobe's Terms of Service (ToS) changes serve as a stark reminder of the evolving risks businesses face, especially with the incorporation of AI. This controversy, while specific to Adobe, underscores broader issues pertinent to AI adoption and highlights the critical need for heightened awareness and proactive risk management strategies within organisations.
How a proactive third-party technology evaluation positioned this autonomous vehicle developer favourably in the procurement process of large automotive manufacturers
Dive into our latest blog where we explore how AI is changing the business landscape, offering new opportunities for growth and innovation. Learn about the essential considerations for procuring AI systems, from establishing robust governance to selecting the right provider and ensuring compliance. Discover actionable insights to navigate this transformative journey with confidence.
In the dynamic landscape of corporate software, recent events surrounding Adobe's Terms of Service (ToS) changes serve as a stark reminder of the evolving risks businesses face, especially with the incorporation of AI. This controversy, while specific to Adobe, underscores broader issues pertinent to AI adoption and highlights the critical need for heightened awareness and proactive risk management strategies within organisations.
Camilo Sandoval, former Senior White House Advisor, sheds light on the opaque nature of AI systems. This “black box” nature of AI solutions could be particularly concerning in sectors such as healthcare, finance, law, and government, where transparency is paramount. There is a risk that data biases within these systems can lead to unjust outcomes, such as wrongful allocation of federal benefits.
How a proactive third-party technology evaluation positioned this autonomous vehicle developer favourably in the procurement process of large automotive manufacturers
Camilo Sandoval, former Senior White House Advisor, shares insights on leveraging AI for enterprises’ competitive advantage...
Ethical AI procurement not only fosters trust and transparency among stakeholders, but also ensures sustainable business practices by addressing biases and accountability issues...
In a rapidly evolving AI landscape, enterprises must balance innovation with compliance to data protection laws such as the General Data Protection Regulation (GDPR) and the EU AI Act. GDPR is paramount for EU and EEA enterprises - mandating transparency, accountability, and ethical handling of personal data...
Responsible AI involves an ethical and legal framework ensuring the safe, trustworthy, and fair application of artificial intelligence. It involves governance frameworks, transparency promotion, and accountability measures to mitigate biases and uphold principles of fairness and reliability. Real-world initiatives by companies like Microsoft and IBM exemplify responsible AI adoption through comprehensive principles, tools, and...
As enterprises increasingly rely on third-party AI solutions, it is imperative to adopt a holistic approach to vendor assessments. By integrating AI governance practices and leveraging independent AI risk assessment tools, organisations can navigate the complexities of AI adoption while fostering responsible and ethical AI usage for sustainable business growth
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