Sam Altman, the CEO of artificial intelligence lab OpenAI, told a Senate panel he welcomes federal regulation on the technology "to mitigate" its risks. A software company is looking to use artificial intelligence (AI) to help companies mitigate and avoid human rights risks in their supply chain. "When it comes to transparency in supply chains, there is such an enormous amount of data that is being spread not just in spreadsheets but also through social that we can start to use to identify and zero in," Justin Dillon, CEO and Founder of FRDM, told Fox News Digital, adding that it's "early, early days" for the technology and methods his company uses. Any AI technology requires significant amounts of data to analyze and process, and Dillon pointed to a treasure trove of data available on social media that his company can use to help map out problematic hotspots in supply chains -- areas that companies can then work to avoid and help create more ethical routes. Dillon related a story from a father in Australia who was talking about using "social listening," which is the analysis of conversations and trends related to different brands.

The Biden administration is preparing to examine how companies use artificial intelligence to monitor and manage workers. According to Bloomberg, the White House will publish a blog post later today that invites American workers to share how automated tools are being used in their workplaces. "While these technologies can benefit both workers and employers in some cases, they can also create serious risks to workers," the post states, per Bloomberg. "The constant tracking of performance can push workers to move too fast on the job, posing risks to their safety and mental health." Citing media reports, the White House adds the technology has also been used to deter workers from organizing their workplaces and to perpetuate pay and discipline discrimination.

OpenAI's revolutionary chatbot ChatGPT has been all over the news in recent months, triggering technology giants such as Google and Baidu to accelerate their AI roadmaps. ChatGPT is built on OpenAI's GPT language model and provides a variety of functions, such as engaging in conversations, answering questions, generating written text, debugging code, conducting sentiment analysis, translating languages and much more. Looking at the technologies of this moment in time, nothing seems to be as pivotal to the future of humanity as generative AI. The idea of scaling the creation of intelligence through machines will touch on everything that happens around us, and the momentum in the generative AI space created by ChatGPT's sudden ascent is inspiring. How should enterprise business leaders react to this?

If you thought that Artificial Intelligence was only used for playing chess or analyzing data, think again. AI is quickly becoming a staple in sales teams across the globe as companies attempt to increase efficiency and close more deals. This blog post will explore a few ways companies use AI for more efficient sales. From lead generation to customer segmentation, AI is changing the sales landscape as we know it. So if you're curious about how AI can help your sales team, read on! Sales intelligence is the term given to the data and information gathered about potential customers during the sales process.

Ideally, your brand illustrates who your organization or company is and how it's perceived by your customers. This means both marketing and product managers need to work closely to protect the overall brand value. Brand management, at its core, is all about sustaining, positioning, defining, crafting, and ensuring a good brand reputation. All in all, brand management is vital as it helps your company influence purchasing behavior; reassuring clients that your company values them; achieving customer loyalty. This is where Artificial Intelligence (AI) can make all the difference.

Conversations around AI and ethics may have started as a preoccupation of activists and academics, but now -- prompted by the increasing frequency of headlines of biased algorithms, black box models, and privacy violations -- boards, C-suites, and data and AI leaders have realized it's an issue for which they need a strategic approach. A solution is hiding in plain sight. Other industries have already found ways to deal with complex ethical quandaries quickly, effectively, and in a way that can be easily replicated. Instead of trying to reinvent this process, companies need to adopt and customize one of health care's greatest inventions: the Institutional Review Board, or IRB. Most discussions of AI ethics follow the same flawed formula, consisting of three moves, each of which is problematic from the perspective of an organization that wants to mitigate the ethical risks associated with AI. Here's how these conversations tend to go. First, companies move to identify AI ethics with "fairness" in AI, or sometimes more generally, "fairness, equity, and inclusion."

What is the Great Rehire? In a previous article here, I explained it as a war for talent expected in the first half of 2021 signalling a new phase of business recovery and fierce employer competition. In a Hiretual survey sent out to 350 recruiters this November, over half of them cited competition from other companies as their biggest hiring concern next year. In this article, I'll cover the'how.' How can companies start moving toward data-intelligence adoption in talent acquisition to effectively beat out the competition and attract desired talent? As recruiters prepared for 2020, employers were using AI to lower time-to-hire by increasing touch points with the employed workforce and implementing automation in the candidate sourcing and engagement process.

In September 2019, the National Institute of Standards and Technology issued its first-ever warning for an attack on a commercial artificial intelligence algorithm. Security researchers had devised a way to attack a Proofpoint product that uses machine learning to identify spam emails. The system produced email headers that included a "score" of how likely a message was to be spam. But analyzing these scores, along with the contents of messages, made it possible to build a clone of the machine-learning model and craft spam messages that evaded detection. The vulnerability notice may be the first of many.

South African enterprises will need to make complex ethical choices about how they leverage artificial intelligence (AI) over the coming years as lawmakers and regulators struggle to keep pace with the speed at which the technology is maturing and with the rate of adoption among local organisations. That's the word from Tarsus Technology Solutions managing director, Mike Rogers, who says that the wide-ranging social and economic potential of AI means that companies cannot treat it merely as another software tool. They should also examine how it will affect their customers, employees and the wider society in which they operate. Says Rogers: "We anticipate that AI will become a foundational technology for most companies within the next five years, one with as much disruptive potential as the Internet and the smartphone. Given its potential impact on employment, consumer rights and the wider economy, companies need to take a proactive stance on the ethical issues AI raises. "If business does not take the initiative, we could see the promulgation of heavy-handed yet belated laws and regulations that hamper South African companies' ability to use AI for competitive advantage.

Enterprise use of artificial intelligence will take a huge step forward over the next year. Rapid adoption of AI and related technologies such as machine learning is expected, and experiments will be seen across various departments and industries. "Companies will experiment with AI in a wide variety of settings and use cases," says Natalia Vassilieva, senior research manager at Hewlett Packard Labs. However, expect it to be difficult to leverage the technology, as it requires a lot of trial and error. "But eventually you will get it right," she says.