AI has made profound advances with few resources, and investments have increased substantially in recent years.
A lot of this was achieved with only small investments. But this has increased dramatically in recent years. Investments in 2021 were about 30 times larger than a decade earlier.
As organizations grow increasingly dependent on AI, a more significant number of individuals will become more sensitive to AI-led decisions.
Hence, the more salient and urgent are the concerns about whether or not these AI systems will be ethical.
Given how rapidly AI has developed in the past – despite its limited resources – we might expect AI technology to become much more powerful in the coming decades now that the resources dedicated to its development have increased substantially.
Many questions occur—as state-of-the-art language models can exhibit impressive reasoning refinement capabilities on coding, science, or math tasks:
Human decision-makers currently do not have the ethical maturity to meaningfully take on the responsibility for ethical decision-making.
With the emergence of the ethical imperative with AI, the scope of spanning a range of multidisciplinary perspectives becomes imperative. Still, ensuring that AI systems accord with norms of responsibility, fairness, legitimacy, clarity, and more comes at a cost.
Recent work demonstrates that even the best models struggle to identify parameters without access to human feedback.
The commitment to protecting the integrity of future AI applications for the business world and solidifying leadership in adopting safe, secure, and trustworthy AI is complex.
For businesses, testing and evaluating AI will help understand the strengths and limitations of the technology so it can be deployed responsibly.
Share this post
🚨❓ How does your business work with AI?
Share this post
AI has made profound advances with few resources, and investments have increased substantially in recent years.
A lot of this was achieved with only small investments. But this has increased dramatically in recent years. Investments in 2021 were about 30 times larger than a decade earlier.
As organizations grow increasingly dependent on AI, a more significant number of individuals will become more sensitive to AI-led decisions.
Hence, the more salient and urgent are the concerns about whether or not these AI systems will be ethical.
Given how rapidly AI has developed in the past – despite its limited resources – we might expect AI technology to become much more powerful in the coming decades now that the resources dedicated to its development have increased substantially.
Many questions occur—as state-of-the-art language models can exhibit impressive reasoning refinement capabilities on coding, science, or math tasks:
Human decision-makers currently do not have the ethical maturity to meaningfully take on the responsibility for ethical decision-making.
With the emergence of the ethical imperative with AI, the scope of spanning a range of multidisciplinary perspectives becomes imperative. Still, ensuring that AI systems accord with norms of responsibility, fairness, legitimacy, clarity, and more comes at a cost.
Recent work demonstrates that even the best models struggle to identify parameters without access to human feedback.
The commitment to protecting the integrity of future AI applications for the business world and solidifying leadership in adopting safe, secure, and trustworthy AI is complex.
For businesses, testing and evaluating AI will help understand the strengths and limitations of the technology so it can be deployed responsibly.
How does your business work with AI?
Looking forward to your answers and comments,
Help us improve this space, answer the survey
AI technology has become much more powerful over the past few decades.
In recent years, it has found applications in many different domains: discover them in our AI case studies section.