Harvest LLP’s Post

AI is revolutionizing the retail landscape, promising efficiency and new opportunities. However, implementing AI tools comes with significant challenges, especially concerning bias, intellectual property, and antitrust concerns. Recent rulings exemplify the complexities, from facial recognition inaccuracies to copyright and patent issues for AI-generated content. Retailers must navigate these waters carefully, ensuring compliance and ethical use of AI technologies. Discover more about the impact of AI on retail: #AIInRetail #AIEthics

With online habits shaping in-store expectations and privacy paramount, the future of brick-and-mortar must prioritize the usage of identity-blind AI. That's why CoolerX is committed to using AI to enhance the in-store experience for retailers and consumers, but with a crucial focus: privacy. In a recent article for Advertising Week, our Founder & CEO, Arsen Avakian discussed how "identity-blind" AI technology is the key to unlocking the potential of physical retail without compromising consumer privacy. This approach avoids using personal data and identifying individual consumers, aligning with the industry's shift towards privacy-forward solutions. Here are the 3 key principles we believe are essential for ethical and successful in-store AI: - Designing for Privacy: AI solutions must prioritize privacy from the start, ensuring functionality without collecting personal information.  - Ensuring Security: Comprehensive data protection is crucial. Regular security audits and robust breach protocols are essential.  - Visibility and Transparency: Clear privacy policies, retailer disclosures, and independent audits build trust with all stakeholders. Let's partner together to build a future of in-store retail that leverages the power of AI while respecting consumer privacy. #AI #RetailTechnology #InStoreRetailMedia #CoolerX #AdvertisingWeek 

Although the industry is trying to prove otherwise, implementing Ai is not a race - “If you don't have time to do it right the first time, how will you ever have time to do it over.” I often see posts about Ai taking over call centers and making them obsolete "in the near future." However, articles like this highlight why organizations should not rush into certain Ai implementations. It's crucial to work with a trusted partner, like Aucera, collaborating closely and customizing Ai tools to fit your infrastructure, meet the specific needs of your customers, and most importantly for many industries/organizations, be compliant. #Ai #CustomerExperience #Compliance #Privacy #FinancialServices #Healthcare #Regulations #Outsourcing #GlobalPartner #Innovation #CollaborativePartner #TechnologyArbitrage #CallCenterConsulting #CustomerService #CXAi

AI offers unprecedented opportunities for eCommerce businesses (both b2b and b2c), but ethics and privacy are set to become front and centre in the new environment. Here's what you can do to start protecting yourself while also making the best use of AI.

AI offers unprecedented opportunities for eCommerce businesses (both b2b and b2c), but ethics and privacy are set to become front and centre in the new environment. Here's what you can do to start protecting yourself while also making the best use of AI.

In this article for CXFocus Newsletter, Liz Adeniji, Area VP APJ at Twilio Segment shares "how marketers capitalise on AI to create better customer experiences, without infringing on the privacy of their customers’ data, will be a defining success factor for the brands of today and tomorrow”. Read more below. #CX #CDP #AI https://lnkd.in/gePC_EtH

Business use of AI, in many industries, is getting ahead of itself. Retail is a good example. Employee’s are using AI in various ways, and yet the business has not prepared a company policy for managing AI use. This article highlights this issue and below are some legal pitfalls that this breakneck adoption/experimentation might run into. The temptation to dive into AI use cases is great, but unknown risks also lie ahead. As artificial intelligence (AI) increasingly becomes a cornerstone in retail operations, particularly in pricing decisions and marketing strategies, it brings with it significant legal risks that businesses must navigate. Here are the primary concerns: 1. Algorithmic Bias and Discrimination AI systems can inadvertently reinforce or amplify existing biases in data, leading to discriminatory pricing or marketing practices. For instance, if an AI algorithm sets prices higher for certain demographic groups based on historical data, it could result in unlawful discrimination. This can violate various anti-discrimination laws, including the Civil Rights Act in the United States, which prohibits discrimination based on race, color, religion, sex, or national origin. 2. Price Discrimination and Antitrust Issues Dynamic pricing algorithms that adjust prices based on supply and demand or customer profiles can raise concerns about price discrimination and antitrust violations. If AI-driven pricing strategies lead to unfair price differences among consumers or collude with competitors' pricing strategies, it can attract regulatory scrutiny and legal challenges under antitrust laws designed to promote competition and protect consumers. 3. Compliance with Consumer Protection Laws AI-driven marketing strategies must comply with consumer protection laws that prevent deceptive advertising and unfair business practices. Misleading or manipulative marketing techniques, even if generated by AI, can result in significant legal penalties. Retailers must ensure that their AI systems do not make false claims or exploit vulnerable consumers. By proactively addressing these legal risks, retailers can leverage AI to enhance their pricing and marketing strategies while maintaining compliance with the law and building consumer trust. https://lnkd.in/egB265UC #AIEthics #RetailTech #PrivacyLaw #AIRegulation #ConsumerProtection

Data privacy in AI-driven marketplaces: A business opportunity, not just a compliance issue. In today's AI-powered e-commerce landscape, data privacy has emerged as a critical factor in building customer trust and loyalty. Forward-thinking businesses are recognizing that robust data protection isn't just about avoiding fines—it's about creating a sustainable competitive advantage. Key considerations for marketplace leaders: -Implement privacy-preserving AI techniques -Clearly communicate data usage policies to users -Invest in secure infrastructure and regular audits -Develop a privacy-first company culture By prioritizing data privacy, marketplaces can: -Enhance brand reputation -Increase customer lifetime value -Mitigate regulatory risks -Drive innovation in AI and data science As we navigate the future of AI-driven commerce, the winners will be those who view privacy not as a hurdle, but as a cornerstone of their business strategy. What steps is your company taking to address data privacy concerns?

What to Consider When Incorporating AI into Your Retail Business

Given consumers' increasing reliance on customer reviews for online purchases combined with the increasing use of AI, we can expect more regulatory (and likely plaintiff’s attorney) enforcement combating false or manipulated consumer reviews. Recognizing these trends, the Federal Trade Commission’s recently-effective Final Rule on the Use of Consumer Reviews and Testimonials focuses heavily on fake reviews and negative review suppression. Indeed, the Final Rule explicitly bans publishing reviews and testimonials from someone who does not exist, such as AI-generated reviews, fictional people and those with no actual experience with a business’s products or services. The rule also bars businesses from suppressing negative reviews or misrepresenting that the reviews represent all or most of the reviews submitted if negative reviews have been suppressed. Read the entire Olshan Frome Wolosky LLP AMP blog post, "Cracking Down on Review Manipulation," authored by Chair of Olshan’s Advertising, Marketing & Promotions Group and Co-Chair of the firm’s Brand Management & Protection Group Andrew Lustigman #OlshanLaw #FTC #CustomerReviews #OnlinePurchases #AI #AdvertisingAndMarketing https://lnkd.in/euAHtY9z