AI has the potential to contribute to the resolution of some of the most intractable problems of our time, but it has the capacity to cause harm too...
Through a case study analysis of secondary qualitative material, two research questions were addressed: Do AI GAN filters' use in TikTok facilitate harm on users, and if so, what can be done to counter those harms? The study confirmed that harms to users' self-image and ...
Artificial intelligence and machine learning have the potential to contribute to the resolution of some of the most intractable problems of our time. Examples include climate change and pandemics. But they have the capacity to cause harm too. And they can, if not used properly, perpetuate historic...
“Obviously, AI has potential for good things too, but ... I do think, as someone who doesn’t understand a damn thing about it, it has enormous potential for good and enormous potential for harm — and I just don’t know how that plays out,” Buffett added....
These should take into account not only the system’s performance under normal conditions but also its behavior in edge cases and failure modes. Furthermore, a system of accountability should be established to ensure that any harm caused by AI systems can be traced back to the responsible partie...
Successful change management requires a recognition of the challenges of adopting AI in healthcare systems—for example, the need to avoid harm and the need to work in a coordinated manner across stakeholders such as regulatory bodies and professional associations. Digital literacy—especially ...
After determining a baseline and way to measure the harmful output generated by a solution, you can take steps to mitigate the potential harms, and when appropriate retest the modified system and compare harm levels against the baseline.Mitigation of potential harms in a generative AI solution ...
An example of the potentially harmful effects of AI comes from aninternational projectwhich aims to use AI to save lives by developing breakthrough medical treatments. In an experiment, the team reversed their "good" AI model to create options for a new AI model to do "harm". ...
Recognizing the great harm deepfakes can cause, Intel is collaborating with groups such as the Project Origin Alliance, the Content Authenticity Initiative (CAI) and The Coalition for Content Provenance and Authenticity (C2PA) to detect and filter out deepfakes. In addition, Intel has also ...
dissemination of false data and attributions. AI systems, if not properly trained, monitored, and used responsibly, could inadvertently or intentionally produce incorrect or misleading information. Given AI’s persuasive power and the trust placed in its output, this could lead to significant harm. ...