As artificial intelligence (AI) programs become more powerful and more common, organizations that use them are feeling pressure to implement ethical practices in the development of AI software. The question is whether ethical AI will become a real priority, or whether organizations will come to view these important practices as another barrier standing in the way of fast development and deployment.
A cautionary tale could be the EU General Data Protection Regulation (GDPR). Enacted with good intentions and hailed as a major step toward better, more consistent privacy protections, GDPR soon became something of an albatross for organizations trying to adhere it. The GDPR and other privacy regulations that followed were often seen as just adding more work that kept them from focusing on projects that really mattered. Organizations that attempt to solve for each new regulation in a silo end up adding significant overhead and making themselves vulnerable to competition in form of agility and cost effectiveness.
Could an emphasis on ethics in AI go the same route? Or should organizations realize the risks—as well as their responsibilities—in putting powerful AI applications into use without addressing ethical concerns? Or is there another way to deal with yet another area of quality without the excessive burden?
Continue reading: https://www.helpnetsecurity.com/2021/10/26/ethics-in-ai/
A cautionary tale could be the EU General Data Protection Regulation (GDPR). Enacted with good intentions and hailed as a major step toward better, more consistent privacy protections, GDPR soon became something of an albatross for organizations trying to adhere it. The GDPR and other privacy regulations that followed were often seen as just adding more work that kept them from focusing on projects that really mattered. Organizations that attempt to solve for each new regulation in a silo end up adding significant overhead and making themselves vulnerable to competition in form of agility and cost effectiveness.
Could an emphasis on ethics in AI go the same route? Or should organizations realize the risks—as well as their responsibilities—in putting powerful AI applications into use without addressing ethical concerns? Or is there another way to deal with yet another area of quality without the excessive burden?
Continue reading: https://www.helpnetsecurity.com/2021/10/26/ethics-in-ai/
