Why Your Organization Is Struggling to Adopt AI (And How to Fix It). Barely 10% of organizations manage to adopt AI. Find solutions to the top 4 AI obstacles.
Artificial intelligence (AI) offers a lot of promise today, but it’s still a bit of a black box for most people. There are many obstacles to adopting AI for today’s organizations, no matter your industry. Understanding what they are will help dispel some of the myths surrounding AI, its limits and potential, and risks to your people and business.
Over 73 % of organizations say that adoption is their biggest challenge with AI. In the same report, over 90% say they don’t have the people and processes to become the data-driven organization they need to be to adopt AI fully.
How can today’s organizations change the way they think and behave around AI when faced with such obstacles? Let’s take a look at four of the biggest challenges and how you can overcome them to deploy AI in your organization.
Why Don’t AI Coders Study AI Ethics? We hear about the societal affects of AI, brought about by willful ignorance of ‘techies’ or ‘tech bros’. So I thought about, what keeps AI coders so distant from the ethics field?
The 12-Step Guide To Design Ethical AI Frameworks. Developing ethical AI has been a severe concern since the advent of this technology
AI has especially been used in addressing healthcare crisis, restarting supply chains, enabling online education and more.
In a perfect world, AI should be developed to avoid unethical issues, but that may be unlikely since those issues cannot always be predicted. In an automated society, human beings will have the responsibility to support and protect each other more than today.
We don’t consider ethics as part of the AI creation and development process, even for Narrow AI, we could still unleash tremendous harm on society, even sometimes without realising it.